Jaime G. Carbonell

366 papers A* 65A 36B 41C 17Misc 12Journal 102Unranked 91

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
2021	A	`conf`	StructSum: Summarization via Structured Representations. EACL Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2020	A*	`conf`	Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
2020	—	`conf`	Efficient Meta Lifelong-Learning with Limited Memory. EMNLP (1) Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell
2020	J	`jnl`	Efficient Meta Lifelong-Learning with Limited Memory. CoRR Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell
2020	A*	`conf`	Harnessing Code Switching to Transcend the Linguistic Barrier. IJCAI Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell
2020	J	`jnl`	Harnessing Code Switching to Transcend the Linguistic Barrier. CoRR Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell
2020	A	`conf`	Hope Speech Detection: A Computational Analysis of the Voice of Peace. ECAI Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2020	J	`jnl`	Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. CoRR Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig
2020	J	`jnl`	Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. Trans. Assoc. Comput. Linguistics Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig
2020	A	`conf`	Minimizing and Recovering from the Effect of Concept Drift via Feature Selection. ECAI Daegun Won, Peter J. Jansen, Jaime G. Carbonell
2020	A	`conf`	Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. ECAI Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2020	A*	`conf`	Optimizing Data Usage via Differentiable Rewards. ICML Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig
2020	A*	`conf`	Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. AAAI Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau
2020	A*	`conf`	Soft Gazetteers for Low-Resource Named Entity Recognition. ACL Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell
2020	J	`jnl`	Soft Gazetteers for Low-Resource Named Entity Recognition. CoRR Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell
2020	J	`jnl`	StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2020	A	`conf`	The Refugee Experience Online: Surfacing Positivity Amidst Hate. ECAI Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2020	A*	`conf`	Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. AAAI Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2019	—	`conf`	A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. EMNLP/IJCNLP (1) Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. CoRR Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. CoRR Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, Yulia Tsvetkov
2019	A*	`conf`	Characterizing and Avoiding Negative Transfer. CVPR Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell
2019	J	`jnl`	Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
2019	A	`conf`	Data-Driven Approach to Multiple-Source Domain Adaptation. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2019	—	`conf`	Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	Expertise drift in referral networks. Auton. Agents Multi Agent Syst. Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2019	A*	`conf`	Gradient-Based Inference for Networks with Output Constraints. AAAI Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2019	J	`jnl`	Kashmir: A Computational Analysis of the Voice of Peace. CoRR Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2019	—	`conf`	Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Learning Rhyming Constraints using Structured Adversaries. CoRR Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2019	A	`conf`	Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2019	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal
2019	J	`jnl`	Optimizing Data Usage via Differentiable Rewards. CoRR Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	The ARIEL-CMU Systems for LoReHLT18. CoRR Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown
2019	—	`conf`	Toward Reciprocity-Aware Distributed Learning in Referral Networks. PRICAI (2) Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2019	J	`jnl`	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov
2019	—	`conf`	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov
2019	J	`jnl`	Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. CoRR Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2019	A*	`conf`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2019	J	`jnl`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2019	A*	`conf`	Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. AAAI Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell
2018	A*	`conf`	Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. EMNLP Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
2018	J	`jnl`	Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. CoRR Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
2018	J	`jnl`	Bounds on the minimax rate for estimating a prior over a VC class from independent learning tasks. Theor. Comput. Sci. Liu Yang, Steve Hanneke, Jaime G. Carbonell
2018	J	`jnl`	Characterizing and Avoiding Negative Transfer. CoRR Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell
2018	A*	`conf`	DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. EMNLP Jesse Dunietz, Jaime G. Carbonell, Lori S. Levin
2018	C	`conf`	Endorsement in Referral Networks. EUMAS Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2018	A	`conf`	Expertise Drift in Referral Networks. AAMAS Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2018	—	`conf`	Gradients explode - Deep Networks are shallow - ResNet explained. ICLR (Workshop) George Philipp, Dawn Song, Jaime G. Carbonell
2018	A	`conf`	I Know What You Don't Know: Proactive Learning through Targeted Human Interaction. AAMAS Abdelwahab Bourai, Jaime G. Carbonell
2018	C	`conf`	Market-Aware Proactive Skill Posting. ISMIS Ashiqur R. KhudaBukhsh, Jong Woo Hong, Jaime G. Carbonell
2018	J	`jnl`	Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
2018	A*	`conf`	Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
2018	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria
2018	J	`jnl`	Robust learning in expert networks: a comparative analysis. J. Intell. Inf. Syst. Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2018	B	`conf`	Temporal transfer learning for drift adaptation. ESANN Daegun Won, Peter J. Jansen, Jaime G. Carbonell
2018	J	`jnl`	The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks. CoRR George Philipp, Jaime G. Carbonell
2018	—	`conf`	Towards More Reliable Transfer Learning. ECML/PKDD (2) Zirui Wang, Jaime G. Carbonell
2018	A*	`conf`	Towards Semi-Supervised Learning for Deep Semantic Role Labeling. EMNLP Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2018	J	`jnl`	Towards Semi-Supervised Learning for Deep Semantic Role Labeling. CoRR Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2018	J	`jnl`	Towards more Reliable Transfer Learning. CoRR Zirui Wang, Jaime G. Carbonell
2018	J	`jnl`	Zero-shot Neural Transfer for Cross-lingual Entity Linking. CoRR Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell
2017	—	`conf`	Active Learning from Peers. NIPS Keerthiram Murugesan, Jaime G. Carbonell
2017	J	`jnl`	Automatically Tagging Constructions of Causation and Their Slot-Fillers. Trans. Assoc. Comput. Linguistics Jesse Dunietz, Lori S. Levin, Jaime G. Carbonell
2017	—	`conf`	CMU CS Event TAC-KBP2017 Event Argument Extraction System. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2017	J	`jnl`	Co-Clustering for Multitask Learning. CoRR Keerthiram Murugesan, Jaime G. Carbonell, Yiming Yang
2017	A*	`conf`	Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer. IJCAI Seungwhan Moon, Jaime G. Carbonell
2017	J	`jnl`	Convolutional Normalizing Flows. CoRR Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2017	J	`jnl`	Enforcing Constraints on Outputs with Unconstrained Inference. CoRR Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2017	—	`conf`	Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. AKBC@NIPS Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2017	J	`jnl`	Event-based summarization using a centrality-as-relevance model. Knowl. Inf. Syst. Luís Marujo, Ricardo Ribeiro, Anatole Gershman, David Martins de Matos, João Paulo Neto, Jaime G. Carbonell
2017	J	`jnl`	Gradients explode - Deep Networks are shallow - ResNet explained. CoRR George Philipp, Dawn Song, Jaime G. Carbonell
2017	—	`conf`	Incentive Compatible Proactive Skill Posting in Referral Networks. EUMAS/AT Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2017	J	`jnl`	Likelihood Almost Free Inference Networks. CoRR Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2017	A	`conf`	Multi-Task Multiple Kernel Relationship Learning. SDM Keerthiram Murugesan, Jaime G. Carbonell
2017	J	`jnl`	Multitask Matrix Completion for Learning Protein Interactions Across Diseases. J. Comput. Biol. Meghana Kshirsagar, Keerthiram Murugesan, Jaime G. Carbonell, Judith Klein-Seetharaman
2017	—	`conf`	Nonparametric Neural Networks. ICLR (Poster) George Philipp, Jaime G. Carbonell
2017	J	`jnl`	Nonparametric Neural Networks. CoRR George Philipp, Jaime G. Carbonell
2017	J	`jnl`	Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. CoRR Adams Wei Yu, Qihang Lin, Ruslan Salakhutdinov, Jaime G. Carbonell
2017	C	`conf`	Robust Learning in Expert Networks: A Comparative Analysis. ISMIS Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2017	A*	`conf`	Self-Paced Multitask Learning with Shared Knowledge. IJCAI Keerthiram Murugesan, Jaime G. Carbonell
2017	J	`jnl`	Self-Paced Multitask Learning with Shared Knowledge. CoRR Keerthiram Murugesan, Jaime G. Carbonell
2017	—	`conf`	The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations. LAW@ACL Jesse Dunietz, Lori S. Levin, Jaime G. Carbonell
2017	J	`jnl`	The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. SIGIR Forum Jaime G. Carbonell, Jade Goldstein
2017	A*	`conf`	Vision-Language Fusion for Object Recognition. AAAI Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh
2016	—	`conf`	Adaptive Smoothed Online Multi-Task Learning. NIPS Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang
2016	—	`conf`	CMU CS Event TAC-KBP2016 Event Argument Extraction System. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2016	—	`conf`	CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. SemEval@NAACL-HLT Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell
2016	B	`conf`	Data-driven Automated Induction of Prerequisite Structure Graphs. EDM Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger
2016	A	`conf`	Distributed Learning in Expert Referral Networks. ECAI Ashiqur R. KhudaBukhsh, Peter J. Jansen, Jaime G. Carbonell
2016	A*	`conf`	Efficient Shift-Invariant Dictionary Learning. KDD Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2016	J	`jnl`	Exploring events and distributed representations of text in multi-document summarization. Knowl. Based Syst. Luís Marujo, Wang Ling, Ricardo Ribeiro, Anatole Gershman, Jaime G. Carbonell, David Martins de Matos, João Paulo Neto
2016	—	`conf`	Generation from Abstract Meaning Representation using Tree Transducers. HLT-NAACL Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell
2016	J	`jnl`	Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell
2016	B	`conf`	Leveraging Multilingual Training for Limited Resource Event Extraction. COLING Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu
2016	J	`jnl`	Multi-Task Multiple Kernel Relationship Learning. CoRR Keerthiram Murugesan, Jaime G. Carbonell
2016	B	`conf`	Multitask Matrix Completion for Learning Protein Interactions Across Diseases. RECOMB Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman, Keerthiram Murugesan
2016	A*	`conf`	Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. EMNLP Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell
2016	—	`conf`	Proactive Skill Posting in Referral Networks. Australasian Conference on Artificial Intelligence Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2016	—	`conf`	Proactive Transfer Learning for Heterogeneous Feature and Label Spaces. ECML/PKDD (2) Seungwhan Moon, Jaime G. Carbonell
2016	—	`conf`	Proactive-DIEL in Evolving Referral Networks. EUMAS/AT Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2015	—	`conf`	Annotating Causal Language Using Corpus Lexicography of Constructions. LAW@NAACL-HLT Jesse Dunietz, Lori S. Levin, Jaime G. Carbonell
2015	—	`conf`	Automatic Keyword Extraction on Twitter. ACL (2) Luís Marujo, Wang Ling, Isabel Trancoso, Chris Dyer, Alan W. Black, Anatole Gershman, David Martins de Matos, João Paulo da Silva Neto, Jaime G. Carbonell
2015	B	`conf`	Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks. ALT Liu Yang, Steve Hanneke, Jaime G. Carbonell
2015	J	`jnl`	Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks. CoRR Liu Yang, Steve Hanneke, Jaime G. Carbonell
2015	A	`conf`	Concept Graph Learning from Educational Data. WSDM Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma
2015	J	`jnl`	Efficient Structured Matrix Rank Minimization. CoRR Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra
2015	—	`conf`	Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach. *SEM@NAACL-HLT Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell
2015	J	`jnl`	Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach. CoRR Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell
2015	—	`conf`	Frame-Semantic Role Labeling with Heterogeneous Annotations. ACL (2) Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer
2015	—	`conf`	Modeling Event Extraction via Multilingual Data Sources. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2015	J	`jnl`	Privacy-Preserving Multi-Document Summarization. CoRR Luís Marujo, José Portelo, Wang Ling, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell, Isabel Trancoso, Bhiksha Raj
2015	Misc	`conf`	Refining Literature Curated Protein Interactions Using Expert Opinions. Pacific Symposium on Biocomputing Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman
2015	A*	`conf`	Unsupervised Phrasal Near-Synonym Generation from Text Corpora. AAAI Dishan Gupta, Jaime G. Carbonell, Anatole Gershman, Steve Klein, David Miller
2014	—	`conf`	A Discriminative Graph-Based Parser for the Abstract Meaning Representation. ACL (1) Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith
2014	—	`conf`	Cross-Lingual Information to the Rescue in Keyword Extraction. ACL (System Demonstrations) Chung-Chi Huang, Maxine Eskénazi, Jaime G. Carbonell, Lun-Wei Ku, Ping-Che Yang
2014	B	`conf`	Detecting Non-Adversarial Collusion in Crowdsourcing. HCOMP Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
2014	—	`conf`	Efficient Structured Matrix Rank Minimization. NIPS Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra
2014	J	`jnl`	Ensemble Detection of Single & Multiple Events at Sentence-Level. CoRR Luís Marujo, Anatole Gershman, Jaime G. Carbonell, João Paulo Neto, David Martins de Matos
2014	—	`conf`	Privacy-Preserving Important Passage Retrieval. PIR@SIGIR Luís Marujo, José Portelo, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell, Isabel Trancoso, Bhiksha Raj
2014	J	`jnl`	Privacy-Preserving Important Passage Retrieval. CoRR Luís Marujo, José Portelo, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell, Isabel Trancoso, Bhiksha Raj
2014	B	`conf`	Proactive learning with multiple class-sensitive labelers. DSAA Seungwhan Moon, Jaime G. Carbonell
2014	B	`conf`	Resources for the Detection of Conventionalized Metaphors in Four Languages. LREC Lori S. Levin, Teruko Mitamura, Brian MacWhinney, Davida Fromm, Jaime G. Carbonell, Weston Feely, Robert E. Frederking, Anatole Gershman, Carlos Ramírez
2014	A*	`conf`	Saddle Points and Accelerated Perceptron Algorithms. ICML Adams Wei Yu, Fatma Kilinç-Karzan, Jaime G. Carbonell
2014	—	`conf`	Textual Event Detection Using Fuzzy Fingerprints. IEEE Conf. on Intelligent Systems (1) Luís Marujo, João Paulo Carvalho, Anatole Gershman, Jaime G. Carbonell, João Paulo Neto, David Martins de Matos
2013	J	`jnl`	A theory of transfer learning with applications to active learning. Mach. Learn. Liu Yang, Steve Hanneke, Jaime G. Carbonell
2013	—	`conf`	Buy-in-Bulk Active Learning. NIPS Liu Yang, Jaime G. Carbonell
2013	J	`jnl`	Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning. CoRR Luís Marujo, Anatole Gershman, Jaime G. Carbonell, David Martins de Matos, João Paulo Neto
2013	J	`jnl`	Hourly Traffic Prediction of News Stories. CoRR Luís Marujo, Miguel M. F. Bugalho, João Paulo da Silva Neto, Anatole Gershman, Jaime G. Carbonell
2013	J	`jnl`	Key Phrase Extraction of Lightly Filtered Broadcast News. CoRR Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell
2013	—	`conf`	Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. HLT-NAACL Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell
2013	A	`conf`	Learnability of DNF with representation-specific queries. ITCS Liu Yang, Avrim Blum, Jaime G. Carbonell
2013	J	`jnl`	Multitask learning for host-pathogen protein interactions. Bioinform. Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman
2013	J	`jnl`	Recognition of Named-Event Passages in News Articles. CoRR Luís Marujo, Wang Ling, Anatole Gershman, Jaime G. Carbonell, João Paulo Neto, David Martins de Matos
2013	A*	`conf`	Self reinforcement for important passage retrieval. SIGIR Ricardo Ribeiro, Luís Marujo, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell
2013	J	`jnl`	Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization. CoRR Luís Marujo, Anatole Gershman, Jaime G. Carbonell, Robert E. Frederking, João Paulo Neto
2013	—	`conf`	The Effects of Lexical Resource Quality on Preference Violation Detection. ACL (2) Jesse Dunietz, Lori S. Levin, Jaime G. Carbonell
2012	A	`conf`	Adaptive Multi-task Sparse Learning with an Application to fMRI Study. SDM Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell
2012	J	`jnl`	An effective framework for characterizing rare categories. Frontiers Comput. Sci. Jingrui He, Hanghang Tong, Jaime G. Carbonell
2012	A	`conf`	Collaborative workflow for crowdsourcing translation. CSCW Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
2012	C	`conf`	Cost-Sensitive Risk Stratification in the Diagnosis of Heart Disease. IAAI Selen Uguroglu, Mark Doyle, Robert Biederman, Jaime G. Carbonell
2012	—	`conf`	Fast Approximate Matching of Astronomical Objects. CLUSTER Workshops Bin Fu, Eugene Fink, Garth A. Gibson, Jaime G. Carbonell
2012	—	`conf`	Key Phrase Extraction of Lightly Filtered Broadcast News. TSD Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João Paulo Neto, Anatole Gershman, Jaime G. Carbonell
2012	J	`jnl`	On the parameter optimization of Support Vector Machines for binary classification. J. Integr. Bioinform. Paulo Gaspar, Jaime G. Carbonell, José Luís Oliveira
2012	Misc	`conf`	Parameter Influence in Genetic Algorithm Optimization of Support Vector Machines. PACBB Paulo Gaspar, Jaime G. Carbonell, José Luís Oliveira
2012	—	`conf`	Recognition of Named-Event Passages in News Articles. COLING (Demos) Luís Marujo, Wang Ling, Anatole Gershman, Jaime G. Carbonell, João Paulo Neto, David Martins de Matos
2012	J	`jnl`	Smoothing Proximal Gradient Method for General Structured Sparse Learning CoRR Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
2012	A	`conf`	Structured Sparse Canonical Correlation Analysis. AISTATS Xi Chen, Han Liu, Jaime G. Carbonell
2012	B	`conf`	Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization. LREC Luís Marujo, Anatole Gershman, Jaime G. Carbonell, Robert E. Frederking, João Paulo Neto
2012	J	`jnl`	Techniques to cope with missing data in host-pathogen protein interaction prediction. Bioinform. Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman
2011	—	`conf`	Active Learning with Multiple Annotations for Comparable Data Classification Task. BUCC@ACL Vamshi Ambati, Sanjika Hewavitharana, Stephan Vogel, Jaime G. Carbonell
2011	B	`conf`	Detection of Internet scam using logistic regression. SMC Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
2011	—	`conf`	Feature Selection for Transfer Learning. ECML/PKDD (3) Selen Uguroglu, Jaime G. Carbonell
2011	A*	`conf`	Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning. COLT Liu Yang, Steve Hanneke, Jaime G. Carbonell
2011	A	`conf`	Modeling personalized email prioritization: classification-based and regression-based approaches. CIKM Shinjae Yoo, Yiming Yang, Jaime G. Carbonell
2011	—	`conf`	Multi-Strategy Approaches to Active Learning for Statistical Machine Translation. MTSummit Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
2011	—	`conf`	Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. CICLing (2) Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2011	B	`conf`	SmartNotes: Application of crowdsourcing to the detection of web threats. SMC Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
2011	A	`conf`	Smoothing Proximal Gradient Method for General Structured Sparse Learning. UAI Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
2011	A	`conf`	Sparse Latent Semantic Analysis. SDM Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell
2011	—	`conf`	Statistical Learning for File-Type Identification. ICMLA (1) Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell
2011	A	`conf`	The Sample Complexity of Self-Verifying Bayesian Active Learning. AISTATS Liu Yang, Steve Hanneke, Jaime G. Carbonell
2011	—	`conf`	Towards Task Recommendation in Micro-Task Markets. Human Computation Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
2011	J	`jnl`	Virus interactions with human signal transduction pathways. Int. J. Comput. Biol. Drug Des. Zhongming Zhao, Junfeng Xia, Öznur Tastan, Irtisha Singh, Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman
2010	A	`conf`	A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. SDM Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2010	B	`conf`	Active Learning and Crowd-Sourcing for Machine Translation. LREC Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
2010	—	`conf`	Active Learning-Based Elicitation for Semi-Supervised Word Alignment. ACL (2) Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
2010	J	`jnl`	Active learning for human protein-protein interaction prediction. BMC Bioinform. Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Ganapathiraju
2010	J	`jnl`	Active machine learning for transmembrane helix prediction. BMC Bioinform. Hatice U. Osmanbeyoglu, Jessica A. Wehner, Jaime G. Carbonell, Madhavi Ganapathiraju
2010	J	`jnl`	An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity CoRR Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing
2010	C	`conf`	Automatic Detection of HIV Drug Resistance-Associated Mutations. ICMLA Betty Yee Man Cheng, Jaime G. Carbonell
2010	C	`conf`	Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. EAMT Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2010	B	`conf`	Bayesian Active Learning Using Arbitrary Binary Valued Queries. ALT Liu Yang, Steve Hanneke, Jaime G. Carbonell
2010	C	`conf`	Chunk-Based EBMT. EAMT Jae Dong Kim, Ralf D. Brown, Jaime G. Carbonell
2010	A	`conf`	Co-selection of Features and Instances for Unsupervised Rare Category Analysis. SDM Jingrui He, Jaime G. Carbonell
2010	J	`jnl`	Coselection of features and instances for unsupervised rare category analysis. Stat. Anal. Data Min. Jingrui He, Jaime G. Carbonell
2010	—	`ch.`	From Active to Proactive Learning Methods. Advances in Machine Learning I Pinar Donmez, Jaime G. Carbonell
2010	J	`jnl`	Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso CoRR Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing
2010	A*	`conf`	Learning Preferences with Millions of Parameters by Enforcing Sparsity. ICDM Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell
2010	A*	`conf`	Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. AAAI Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell
2010	B	`conf`	Learning of personalized security settings. SMC Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
2010	—	`conf`	Monolingual Distributional Profiles for Word Substitution in Machine Translation. COLING (Posters) Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2010	A	`conf`	Rank learning for factoid question answering with linguistic and semantic constraints. CIKM Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Carbonell, Eric Nyberg
2010	A*	`conf`	Rare Category Characterization. ICDM Jingrui He, Hanghang Tong, Jaime G. Carbonell
2010	J	`jnl`	Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. Bioinform. Yanjun Qi, Öznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman, Jason Weston
2010	J	`jnl`	Studies on Relevance, Ranking and Results Display CoRR Judith Gelernter, Dong Cao, Jaime G. Carbonell
2010	A	`conf`	Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. SDM Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell
2009	A*	`conf`	Accelerated Gradient Method for Multi-task Sparse Learning Problem. ICDM Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell
2009	—	`conf`	Active Learning in Example-Based Machine Translation. NODALIDA Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2009	A	`conf`	Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. ECIR Pinar Donmez, Jaime G. Carbonell
2009	B	`conf`	Analysis of uncertain data: Evaluation of given hypotheses. SMC Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
2009	B	`conf`	Analysis of uncertain data: Selection of probes for information gathering. SMC Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
2009	B	`conf`	Analysis of uncertain data: Smoothing of histograms. SMC Eugene Fink, Ankur Sarin, Jaime G. Carbonell
2009	—	`conf`	Communication interception of human signal transduction pathways by Human Immunodeficiency Virus-1. GENSiPS Sivaraman Balakrishnan, Öznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman
2009	J	`jnl`	Conditional Graphical Models for Protein Structural Motif Recognition. J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2009	B	`conf`	Creating and visualizing fuzzy document classification. SMC Judith Gelernter, Dong Cao, Raymond Lu, Eugene Fink, Jaime G. Carbonell
2009	A*	`conf`	Efficiently learning the accuracy of labeling sources for selective sampling. KDD Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2009	—	`conf`	Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages. MTSummit Vamshi Ambati, Alon Lavie, Jaime G. Carbonell
2009	A*	`conf`	It pays to be picky: an evaluation of thread retrieval in online forums. SIGIR Jonathan L. Elsas, Jaime G. Carbonell
2009	—	`conf`	Pairwise Document Classification for Relevance Feedback. TREC Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell
2009	Misc	`conf`	Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. Pacific Symposium on Biocomputing Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman
2009	A	`conf`	Prior-Free Rare Category Detection. SDM Jingrui He, Jaime G. Carbonell
2009	B	`conf`	Scheduling with uncertain resources: Representation of common knowledge. SMC Eugene Fink, Matt Jennings, Konstantin Salomatin, Jaime G. Carbonell
2008	B	`conf`	Analysis of uncertain data: Tools for representation and processing. SMC Bin Fu, Eugene Fink, Jaime G. Carbonell
2008	B	`conf`	Cluster-Based Query Expansion for Statistical Question Answering. IJCNLP Lucian Vlad Lita, Jaime G. Carbonell
2008	A	`conf`	Corpus microsurgery: criteria optimization for medical cross-language ir. CIKM Monica Rogati, Yiming Yang, Jaime G. Carbonell
2008	A	`conf`	Document Representation and Query Expansion Models for Blog Recommendation. ICWSM Jaime Arguello, Jonathan L. Elsas, Jamie Callan, Jaime G. Carbonell
2008	—	`conf`	Document and Query Expansion Models for Blog Distillation. TREC Jaime Arguello, Jonathan L. Elsas, Changkuk Yoo, Jamie Callan, Jaime G. Carbonell
2008	—	`conf`	Evaluating an Agglutinative Segmentation Model for ParaMor. SIGMORPHON Christian Monson, Alon Lavie, Jaime G. Carbonell, Lori S. Levin
2008	A	`conf`	Fast learning of document ranking functions with the committee perceptron. WSDM Jonathan L. Elsas, Vitor R. Carvalho, Jaime G. Carbonell
2008	B	`conf`	Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. LREC Christian Monson, Ariadna Font Llitjós, Vamshi Ambati, Lori S. Levin, Alon Lavie, Alison Alvarez, Roberto Aranovich, Jaime G. Carbonell, Robert E. Frederking, Erik Peterson, Katharina Probst
2008	A*	`conf`	Optimizing estimated loss reduction for active sampling in rank learning. ICML Pinar Donmez, Jaime G. Carbonell
2008	Misc	`conf`	Paired Sampling in Density-Sensitive Active Learning. ISAIM Pinar Donmez, Jaime G. Carbonell
2008	—	`conf`	ParaMor and Morpho Challenge 2008. CLEF Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin
2008	—	`conf`	ParaMor and Morpho Challenge 2008. CLEF (Working Notes) Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin
2008	C	`conf`	Predicate Indexing for Incremental Multi-Query Optimization. ISMIS Chun Jin, Jaime G. Carbonell
2008	A	`conf`	Proactive learning: cost-sensitive active learning with multiple imperfect oracles. CIKM Pinar Donmez, Jaime G. Carbonell
2008	A*	`conf`	RADAR: A Personal Assistant that Learns to Reduce Email Overload. AAAI Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic
2008	Misc	`conf`	Rare Class Discovery Based on Active Learning. ISAIM Jingrui He, Jaime G. Carbonell
2008	A*	`conf`	Retrieval and feedback models for blog feed search. SIGIR Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell
2008	B	`conf`	Scheduling with uncertain resources: Learning to ask the right questions. SMC Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
2008	B	`conf`	Scheduling with uncertain resources: Learning to make reasonable assumptions. SMC Steven Gardiner, Eugene Fink, Jaime G. Carbonell
2008	A	`conf`	Suppressing outliers in pairwise preference ranking. CIKM Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell
2008	A*	`conf`	The impact of history length on personalized search. SIGIR Yangbo Zhu, Jamie Callan, Jaime G. Carbonell
2007	A*	`conf`	Cluster-Based Selection of Statistical Answering Strategies. IJCAI Lucian Vlad Lita, Jaime G. Carbonell
2007	B	`conf`	Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. APBC Betty Yee Man Cheng, Jaime G. Carbonell
2007	—	`conf`	Combining Probability-Based Rankers for Action-Item Detection. HLT-NAACL Paul N. Bennett, Jaime G. Carbonell
2007	—	`conf`	Dual Strategy Active Learning. ECML Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
2007	—	`conf`	Federated Ontology Search for the Medical Domain. OTM Workshops (1) Vasco Pedro, Lucian Vlad Lita, Radu Stefan Niculescu, Bharat Rao, Jaime G. Carbonell
2007	A	`conf`	Genre identification and goal-focused summarization. CIKM Jade Goldstein, Gary M. Ciany, Jaime G. Carbonell
2007	A*	`conf`	Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI Jingrui He, Jaime G. Carbonell, Yan Liu
2007	—	`conf`	Improving transfer-based MT systems with automatic refinements. MTSummit Ariadna Font Llitjós, Jaime G. Carbonell, Alon Lavie
2007	—	`conf`	Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS Jingrui He, Jaime G. Carbonell
2007	—	`conf`	ParaMor: Finding Paradigms across Morphology. CLEF Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin
2007	—	`conf`	ParaMor: Finding Paradigms across Morphology. CLEF (Working Notes) Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin
2007	—	`conf`	ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis. SIGMORPHON Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin
2007	A*	`conf`	Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2007	—	`conf`	Retrieval and Feedback Models for Blog Distillation. TREC Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell
2007	—	`conf`	Stuctured Queries for Legal Search. TREC Yangbo Zhu, Le Zhao, Jamie Callan, Jaime G. Carbonell
2006	C	`conf`	ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. IDEAS Chun Jin, Jaime G. Carbonell
2006	Misc	`conf`	Context-Based Machine Translation. AMTA Jaime G. Carbonell, Steve Klein, David Miller, Mike Steinbaum, Tomer Grassiany, Jochen Frei
2006	C	`conf`	Incremental Aggregation on Multiple Continuous Queries. ISMIS Chun Jin, Jaime G. Carbonell
2006	J	`jnl`	Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2006	B	`conf`	Scheduling with Uncertain Resources: Collaboration with the User. SMC Eugene Fink, Ulas Bardak, Brandon Rothrock, Jaime G. Carbonell
2006	B	`conf`	Scheduling with Uncertain Resources: Elicitation of Additional Data. SMC Ulas Bardak, Eugene Fink, Chris R. Martens, Jaime G. Carbonell
2006	B	`conf`	Scheduling with Uncertain Resources: Representation and Utility Function. SMC Ulas Bardak, Eugene Fink, Jaime G. Carbonell
2006	B	`conf`	Scheduling with Uncertain Resources: Search for a Near-Optimal Solution. SMC Eugene Fink, P. Matthew Jennings, Ulas Bardak, Jean Oh, Stephen F. Smith, Jaime G. Carbonell
2006	—	`conf`	Spectral Clustering for Example Based Machine Translation. HLT-NAACL Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2005	C	`conf`	A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries. ISMIS Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman
2005	C	`conf`	A framework for interactive and automatic refinement of transfer-based machine translation. EAMT Ariadna Font Llitjós, Jaime G. Carbonell, Alon Lavie
2005	C	`conf`	ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. ISMIS Chun Jin, Jaime G. Carbonell, Philip J. Hayes
2005	A*	`conf`	Detecting action-items in e-mail. SIGIR Paul N. Bennett, Jaime G. Carbonell
2005	A*	`conf`	Predicting protein folds with structural repeats using a chain graph model. ICML Yan Liu, Eric P. Xing, Jaime G. Carbonell
2005	B	`conf`	Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2005	—	`conf`	Symmetric Probabilistic Alignment. ParallelText@ACL Ralf D. Brown, Jae Dong Kim, Peter J. Jansen, Jaime G. Carbonell
2005	C	`conf`	Symmetric probabilistic alignment for example-based translation. EAMT Jae Dong Kim, Ralf D. Brown, Peter J. Jansen, Jaime G. Carbonell
2005	J	`jnl`	Transnational Information Sharing, Event Notification, Rule Enforcement and Process Coordination. Int. J. Electron. Gov. Res. Stanley Y. W. Su, José A. B. Fortes, Thrity R. Kasad, Manjiri Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne H. Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, Charles McSweeney, Lilliam G. de Brens, José Luis Ventura, Pedro Taveras, Ruth M. Connolly, Carmen Ortega, Beatriz Piñeres, Ornel Brooks, Gareth A. Murillo, Manuel Herrera
2004	—	`conf`	A Prototype System for Transnational Information Sharing and Process Coordination. DG.O Stanley Y. W. Su, José A. B. Fortes, Thrity R. Kasad, Manjiri Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne H. Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, Charles McSweeney, Lilliam G. de Brens, José Luis Ventura, Pedro Taveras, Ruth M. Connolly, Carmen Ortega, Beatriz Piñeres, Ornel Brooks, Manuel Herrera
2004	—	`conf`	A Prototype System for Transnational Information Sharing and Process Coordination: System Demo. DG.O Stanley Y. W. Su, José A. B. Fortes, Thrity R. Kasad, Manjiri Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne H. Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, Charles McSweeney, Lilliam G. de Brens, José Luis Ventura, Pedro Taveras, Ruth M. Connolly, Carmen Ortega, Beatriz Piñeres, Ornel Brooks, Manuel Herrera
2004	C	`conf`	A trainable transfer-based MT approach for languages with limited resources. EAMT Alon Lavie, Katharina Probst, Erik Peterson, Stephan Vogel, Lori S. Levin, Ariadna Font Llitjós, Jaime G. Carbonell
2004	C	`conf`	Challenges in using an example-based MT system for a transnational digital government project. EAMT Violetta Cavalli-Sforza, Ralf D. Brown, Jaime G. Carbonell, Peter G. Jansen, Jae Dong Kim
2004	J	`jnl`	Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinform. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2004	A*	`conf`	Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2004	B	`conf`	Data Collection and Analysis of Mapudungun Morphology for Spelling Correction. LREC Christian Monson, Lori S. Levin, Rodolfo Vega, Ralf D. Brown, Ariadna Font Llitjós, Alon Lavie, Jaime G. Carbonell, Eliseo Cañulef, Rosendo Huisca
2004	B	`conf`	Developing Language Resources for a Transnational Digital Government System. LREC Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen
2004	Misc	`conf`	Error Analysis of Two Types of Grammar for the Purpose of Automatic Rule Refinement. AMTA Ariadna Font Llitjós, Katharina Probst, Jaime G. Carbonell
2004	A*	`conf`	Instance-Based Question Answering: A Data-Driven Approach. EMNLP Lucian Vlad Lita, Jaime G. Carbonell
2004	—	`conf`	Search for approximate matches in large databases. SMC (2) Eugene Fink, Aaron Goldstein, Philip J. Hayes, Jaime G. Carbonell
2004	B	`conf`	The Translation Correction Tool: English-Spanish User Studies. LREC Ariadna Font Llitjós, Jaime G. Carbonell
2004	—	`conf`	Unsupervised Induction of Natural Language Morphology Inflection Classes. SIGMORPHON@ACL Christian Monson, Alon Lavie, Jaime G. Carbonell, Lori S. Levin
2004	A	`conf`	Unsupervised question answering data acquisition from local corpora. CIKM Lucian Vlad Lita, Jaime G. Carbonell
2003	—	`conf`	A New Pairwise Ensemble Approach for Text Classification. ECML Yan Liu, Jaime G. Carbonell, Rong Jin
2003	—	`conf`	Cross Lingual QA: A Modular Baseline in CLEF 2003. CLEF Lucian Vlad Lita, Monica Rogati, Jaime G. Carbonell
2003	—	`conf`	Cross Lingual QA: A Modular Baseline. CLEF (Working Notes) Lucian Vlad Lita, Monica Rogati, Jaime G. Carbonell
2003	J	`jnl`	Experiments with a Hindi-to-English transfer-based MT system under a miserly data scenario. ACM Trans. Asian Lang. Inf. Process. Alon Lavie, Stephan Vogel, Lori S. Levin, Erik Peterson, Katharina Probst, Ariadna Font Llitjós, Rachel Reynolds, Jaime G. Carbonell, Richard Cohen
2003	A	`conf`	Grand challenges for information management. CIKM Jaime G. Carbonell
2003	—	`conf`	Reducing boundary friction using translation-fragment overlap. MTSummit Ralf D. Brown, Rebecca Hutchinson, Paul N. Bennett, Jaime G. Carbonell, Peter J. Jansen
2003	—	`conf`	The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. TREC Eric Nyberg, Teruko Mitamura, James P. Callan, Jaime G. Carbonell, Robert E. Frederking, Kevyn Collins-Thompson, Laurie Hiyakumoto, Yifen Huang, Curtis Huttenhower, Scott Judy, Jeongwoo Ko, Anna Kupsc, Lucian Vlad Lita, Vasco Pedro, David Svoboda, Benjamin Van Durme
2002	Misc	`conf`	Automatic Rule Learning for Resource-Limited MT. AMTA Jaime G. Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie, Ralf D. Brown, Lori S. Levin
2002	A	`conf`	Boosting to correct inductive bias in text classification. CIKM Yan Liu, Yiming Yang, Jaime G. Carbonell
2002	J	`jnl`	MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules. Mach. Transl. Katharina Probst, Lori S. Levin, Erik Peterson, Alon Lavie, Jaime G. Carbonell
2002	—	`conf`	The JAVELIN Question-Answering System at TREC 2002. TREC Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell, James P. Callan, Kevyn Collins-Thompson, Krzysztof Czuba, Michael Duggan, Laurie Hiyakumoto, N. Hu, Yifen Huang, Jeongwoo Ko, Lucian Vlad Lita, S. Murtagh, Vasco Pedro, David Svoboda
2002	A*	`conf`	Topic-conditioned novelty detection. KDD Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin
2000	A	`conf`	Creating and Evaluating Multi-Document Sentence Extract Summaries. CIKM Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonell, James P. Callan
2000	J	`jnl`	Special Issue of Machine Learning on Information Retrieval - Introduction. Mach. Learn. Jaime G. Carbonell, Yiming Yang, William W. Cohen
1999	J	`jnl`	Learning approaches for detecting and tracking news events. IEEE Intell. Syst. Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Thomas Pierce, Blair Archibald, Xin Liu
1999	—	`conf`	Selecting Text Spans for Document Summaries: Heuristics and Metrics. AAAI/IAAI Vibhu O. Mittal, Mark Kantrowitz, Jade Goldstein, Jaime G. Carbonell
1999	A*	`conf`	Summarizing Text Documents: Sentence Selection and Evaluation Metrics. SIGIR Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, Jaime G. Carbonell
1998	A*	`conf`	A Study of Retrospective and On-Line Event Detection. SIGIR Yiming Yang, Thomas Pierce, Jaime G. Carbonell
1998	—	`conf`	Summarization: (1) Using MMR for Diversity- Based Reranking and (2) Evaluating Summaries. TIPSTER Jade Goldstein, Jaime G. Carbonell
1998	A*	`conf`	The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. SIGIR Jaime G. Carbonell, Jade Goldstein
1998	J	`jnl`	Translingual Information Retrieval: Learning from Bilingual Corpora. Artif. Intell. Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking
1997	—	`conf`	Translingual Information Retrieval: A Comparative Evaluation. IJCAI (1) Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee
1996	Misc	`conf`	Panel: Next steps in MT research. AMTA Lynn Carlson, Jaime G. Carbonell, David Farwell, Pierre Isabelle, Jackie Murgida, John O'Hara, Dekai Wu
1995	J	`jnl`	Integrating planning and learning: the PRODIGY architecture. J. Exp. Theor. Artif. Intell. Manuela M. Veloso, Jaime G. Carbonell, M. Alicia Pérez, Daniel Borrajo, Eugene Fink, Jim Blythe
1995	A*	`conf`	VERY Large Knowledge Bases - Architecture vs Engineering. IJCAI James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom
1994	—	`conf`	Control Knowledge to Improve Plan Quality. AIPS M. Alicia Pérez, Jaime G. Carbonell
1994	B	`conf`	Evaluation Metrics for Knowledge-Based Machine Translation. COLING Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell
1994	Misc	`conf`	Future Directions. AMTA Joseph Pentheroudakis, Jaime G. Carbonell, Lutz Graunitz, Pierre Isabelle, Chris Montgomery, Alex Waibel
1994	Misc	`conf`	KANT: Knowledge-Based, Accurate Natural Language Translation. AMTA Teruko Mitamura, Eric Nyberg, Jaime G. Carbonell
1994	A*	`conf`	Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). KR Jaime G. Carbonell
1994	Misc	`conf`	PANGLOSS. AMTA Jaime G. Carbonell, David Farwell, Robert E. Frederking, Stephen Helmreich, Eduard H. Hovy, Kevin Knight, Lori S. Levin, Sergei Nirenburg
1993	J	`jnl`	Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. Mach. Learn. Manuela M. Veloso, Jaime G. Carbonell
1993	A*	`conf`	Lessons from TIPSTER/SHOGUN/JANUS. SIGIR Jaime G. Carbonell
1992	B	`conf`	Is Production System Match Interesting? ICTAI Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe
1992	J	`jnl`	Machine Learning: A Maturing Field. Mach. Learn. Jaime G. Carbonell
1992	—	`book`	Machine translation - a knowledge-based approach. Sergei Nirenburg, Jaime G. Carbonell, Masaru Tomita, Kenneth Goodman
1991	J	`jnl`	Editorial. Mach. Learn. Jaime G. Carbonell
1991	J	`jnl`	Editorial. Mach. Learn. Jaime G. Carbonell
1991	—	`conf`	Learning by Analogical Replay in PRODIGY: First Results. EWSL Manuela M. Veloso, Jaime G. Carbonell
1991	J	`jnl`	PRODIGY: An Integrated Architecture for Planning and Learning. SIGART Bull. Jaime G. Carbonell, Oren Etzioni, Yolanda Gil, Robert Joseph, Craig A. Knoblock, Steven Minton, Manuela M. Veloso
1991	—	`conf`	Session 3: Machine Translation. HLT Jaime G. Carbonell
1990	—	`conf`	Machine Translation Again? HLT Yorick Wilks, Jaime G. Carbonell, David Farwell, Eduard H. Hovy, Sergei Nirenburg
1989	J	`jnl`	Editorial. Mach. Learn. Jaime G. Carbonell
1989	J	`jnl`	Editorial. Mach. Learn. Jaime G. Carbonell
1989	J	`jnl`	Explanation-Based Learning: A Problem Solving Perspective. Artif. Intell. Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil
1989	J	`jnl`	Introduction: Paradigms for Machine Learning. Artif. Intell. Jaime G. Carbonell
1989	A*	`conf`	Towards a General Framework for Composing Disjunctive and Iterative Macro-operators. IJCAI Peter Shell, Jaime G. Carbonell
1989	—	`conf`	White Paper on Natural Language Processing. HLT (2) Ralph Weiscbedel, Jaime G. Carbonell, Barbara J. Grosz, Wendy Lehnert, Mitchell Marcus, Ray Perrault, Robert Wilensky
1988	B	`conf`	Anaphora resolution: a multy-strategy approach. COLING Jaime G. Carbonell, Ralf D. Brown
1988	J	`jnl`	FERMI: A Flexible Expert Reasoner with Multi-Domain Inferencing. Cogn. Sci. Jill H. Larkin, Frederick Reif, Jaime G. Carbonell, Angela Gugliotta
1987	J	`jnl`	CoalSORT: A Knowledge-Based Interface. IEEE Expert Ira Monarch, Jaime G. Carbonell
1987	J	`jnl`	Integrating discourse pragmatics and propositional knowledge for multilingual natural language processing. Mach. Transl. Sergei Nirenburg, Jaime G. Carbonell
1987	A*	`conf`	Strategies for Learning Search Control Rules: An Explanation-based Approach. IJCAI Steven Minton, Jaime G. Carbonell
1987	A*	`conf`	The Universal Parser Architecture for Knowledge-based Machine Translation. IJCAI Masaru Tomita, Jaime G. Carbonell
1986	C	`conf`	Analogical reasoning in planning and decision making. ISMIS Jaime G. Carbonell
1986	B	`conf`	Another Stride Towards Knowledge-Based Machine Translation. COLING Masaru Tomita, Jaime G. Carbonell
1986	B	`conf`	Natural Language Interfaces - Ready for Commercial Success? COLING Wolfgang Wahlster, Jaime G. Carbonell, Gary G. Hendrix, Harry R. Tennant
1986	B	`conf`	Parsing Spoken Language: A Semantic Caseframe Approach. COLING Philip J. Hayes, Alexander G. Hauptmann, Jaime G. Carbonell, Masaru Tomita
1986	A*	`conf`	The FERMI System: Inducing Iterative Macro-Operators from Experience. AAAI Patricia Cheng, Jaime G. Carbonell
1984	J	`jnl`	Approaches to machine learning. J. Am. Soc. Inf. Sci. Pat Langley, Jaime G. Carbonell
1984	B	`conf`	Coping with Extragrammaticality. COLING Jaime G. Carbonell, Philip J. Hayes
1984	B	`conf`	Is There Natural Language after Data Bases? COLING Jaime G. Carbonell
1983	A*	`conf`	A Framework for Processing Corrections in Task-Oriented Dialogues. IJCAI Philip J. Hayes, Jaime G. Carbonell
1983	A*	`conf`	Derivational Analogy and Its Role in Problem Solving. AAAI Jaime G. Carbonell
1983	A*	`conf`	Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces. ACL Jaime G. Carbonell
1983	J	`jnl`	Machine Learning: A Historical and Methodological Analysis. AI Mag. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
1983	J	`jnl`	Recovery Strategies for Parsing Extragrammatical Language. Am. J. Comput. Linguistics Jaime G. Carbonell, Philip J. Hayes
1983	A*	`conf`	The XCALIBUR Project: A Natural Language Interface to Expert Systems. IJCAI Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick
1983	—	`conf`	User Modelling and Natural Language Interface Design. Software-Ergonomie Jaime G. Carbonell
1982	J	`jnl`	A note on the AI tutorial at the ACM. SIGART Newsl. Jaime G. Carbonell
1982	J	`jnl`	Artificial Intelligence Techniques and Methodology. AI Mag. Jaime G. Carbonell, Derek H. Sleeman
1982	A*	`conf`	Experiential Learning in Analogical Problem Solving. AAAI Jaime G. Carbonell
1982	J	`jnl`	Robust man-machine interfaces and dialog modelling: Carnegie-Mellon University. SIGART Newsl. W. Mark Boggs, Jaime G. Carbonell, Robert E. Frederking, Philip J. Hayes, George V. Mouradian, Donald W. Kosy, Michael L. Mauldin, Hiromichi Fujisawa
1981	A*	`conf`	A Computational Model of Analogical Problem Solving. IJCAI Jaime G. Carbonell
1981	—	`conf`	A tutorial on natural-language processing. ACM Annual Conference Gary G. Hendrix, Jaime G. Carbonell
1981	J	`jnl`	Counterplanning: A Strategy-Based Model of Adversary Planning in Real-World Situations. Artif. Intell. Jaime G. Carbonell
1981	A*	`conf`	Dynamic Strategy Selection in Flexible Parsing. ACL Jaime G. Carbonell, Philip J. Hayes
1981	J	`jnl`	Machine learning research. SIGART Newsl. Jaime G. Carbonell
1981	A*	`conf`	Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update. IJCAI Philip J. Hayes, Jaime G. Carbonell
1981	J	`jnl`	Steps Toward Knowledge-Based Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. Jaime G. Carbonell, Richard E. Cullingford, Anatole Gershman
1980	J	`jnl`	Artificial Intelligence Research at Carnegie-Mellon University. AI Mag. Jaime G. Carbonell
1980	—	`conf`	Consistency of Models (discussion). Workshop on Data Abstraction, Databases and Conceptual Modelling John Miles Smith, Charles Rich, Jonathan J. King, Peter Hitchcock, Alexander Borgida, Jaime G. Carbonell
1980	A*	`conf`	DELTA-MIN: A Search-Control Method for Information-Gathering Problems. AAAI Jaime G. Carbonell
1980	—	`conf`	Default Reasoning and Inheritance Mechanisms on Type Hierarchies. Workshop on Data Abstraction, Databases and Conceptual Modelling Jaime G. Carbonell
1980	A*	`conf`	Metapher - A Key to Extensible Semantic Analysis. ACL Jaime G. Carbonell
1980	—	`conf`	Presentation (discussion). Workshop on Data Abstraction, Databases and Conceptual Modelling L. Peter Deutsch, Jaime G. Carbonell, Charles Rich, Raymond Reiter, Hartmut Wedekind, Patrick J. Hayes
1980	J	`jnl`	Towards a Process Model of Human Personality Traits. Artif. Intell. Jaime G. Carbonell
1979	A*	`conf`	Computer Models of Human Personality Traits. IJCAI Jaime G. Carbonell
1979	A*	`conf`	The Counterplanning Process: Reasoning under Adversity. IJCAI Jaime G. Carbonell
1979	A*	`conf`	Towards a Self-Extending Parser. ACL Jaime G. Carbonell
1978	J	`jnl`	Comments on the paper of Cherniavsky: "On artificial intelligence and attempts to disprove its existance". Inf. Syst. Jaime G. Carbonell, Roger C. Schank
1978	—	`conf`	Intentlonallty and Human Conversations. TINLAP Jaime G. Carbonell
1978	J	`jnl`	POLITICS: Automated Ideological Reasoning. Cogn. Sci. Jaime G. Carbonell