Ramesh Nallapati

99 papers A* 17A 8B 1C 1Journal 37Unranked 34

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	BASS: Batched Attention-optimized Speculative Sampling. ACL (Findings) Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	BASS: Batched Attention-optimized Speculative Sampling. CoRR Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras
2024	A*	`conf`	Bifurcated Attention for Single-Context Large-Batch Sampling. ICML Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
2024	J	`jnl`	Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
2024	—	`conf`	CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2024	J	`jnl`	Code Representation Learning At Scale. CoRR Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
2024	A*	`conf`	Code Representation Learning at Scale. ICLR Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
2024	—	`conf`	Token Alignment via Character Matching for Subword Completion. ACL (Findings) Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang
2024	J	`jnl`	Token Alignment via Character Matching for Subword Completion. CoRR Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang
2023	—	`conf`	ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
2023	A*	`conf`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	—	`conf`	Exploring Continual Learning for Code Generation Models. ACL (2) Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
2023	J	`jnl`	Exploring Continual Learning for Code Generation Models. CoRR Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
2023	A*	`conf`	Multi-lingual Evaluation of Code Generation Models. ICLR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati
2023	—	`conf`	Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma
2023	—	`conf`	ReCode: Robustness Evaluation of Code Generation Models. ACL (1) Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
2022	J	`jnl`	CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2022	J	`jnl`	ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
2022	—	`conf`	DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
2022	J	`jnl`	DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
2022	—	`conf`	Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
2022	J	`jnl`	Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
2022	—	`conf`	Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. EMNLP (Industry Track) Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta
2022	J	`jnl`	Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. CoRR Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Ramesh Nallapati, Bing Xiang, Sudipta Sengupta
2022	J	`jnl`	Multi-lingual Evaluation of Code Generation Models. CoRR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2022	J	`jnl`	ReCode: Robustness Evaluation of Code Generation Models. CoRR Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
2021	—	`conf`	Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	A	`conf`	Entity-level Factual Consistency of Abstractive Text Summarization. EACL Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang
2021	J	`jnl`	Entity-level Factual Consistency of Abstractive Text Summarization. CoRR Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang
2021	—	`conf`	Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021	—	`conf`	Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu
2021	A*	`conf`	Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz
2021	—	`conf`	Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) Dejiao Zhang, Shang-wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR Dejiao Zhang, Shang-wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	A	`conf`	Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
2021	—	`conf`	Supporting Clustering with Contrastive Learning. NAACL-HLT Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Supporting Clustering with Contrastive Learning. CoRR Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Transductive Learning for Abstractive News Summarization. CoRR Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
2020	J	`jnl`	Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2020	—	`conf`	Beyond [CLS] through Ranking by Generation. EMNLP (1) Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	J	`jnl`	Beyond [CLS] through Ranking by Generation. CoRR Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	—	`conf`	Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola
2020	J	`jnl`	Embedding-based Zero-shot Retrieval through Query Generation. CoRR Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	—	`conf`	End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	J	`jnl`	End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	—	`conf`	H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2020	A*	`conf`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	J	`jnl`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	—	`conf`	Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang
2020	A*	`conf`	Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Multi Sense Embeddings from Topic Models. ICNLSP Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar
2019	J	`jnl`	Multi Sense Embeddings from Topic Models. CoRR Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar
2019	—	`conf`	Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	A*	`conf`	OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR Pramuditha Perera, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR Pramuditha Perera, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Passage Ranking with Weak Supervsion. CoRR Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Topic Modeling with Wasserstein Autoencoders. ACL (1) Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Topic Modeling with Wasserstein Autoencoders. CoRR Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Universal Text Representation from BERT: An Empirical Study. CoRR Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2018	A*	`conf`	Coherence-Aware Neural Topic Modeling. EMNLP Ran Ding, Ramesh Nallapati, Bing Xiang
2018	J	`jnl`	Coherence-Aware Neural Topic Modeling. CoRR Ran Ding, Ramesh Nallapati, Bing Xiang
2017	J	`jnl`	SenGen: Sentence Generating Neural Variational Topic Model. CoRR Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou
2017	A*	`conf`	SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. AAAI Ramesh Nallapati, Feifei Zhai, Bowen Zhou
2016	B	`conf`	Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang
2016	J	`jnl`	Classify or Select: Neural Architectures for Extractive Document Summarization. CoRR Ramesh Nallapati, Bowen Zhou, Mingbo Ma
2016	—	`conf`	Pointing the Unknown Words. ACL (1) Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016	J	`jnl`	Pointing the Unknown Words. CoRR Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016	J	`jnl`	Sequence-to-Sequence RNNs for Text Summarization. CoRR Ramesh Nallapati, Bing Xiang, Bowen Zhou
2016	J	`jnl`	SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents. CoRR Ramesh Nallapati, Feifei Zhai, Bowen Zhou
2015	—	`conf`	Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding. BioNLP@IJCNLP Ramesh Nallapati, Radu Florian
2014	—	`ch.`	Evaluating Multimedia Features and Fusion for Example-Based Event Detection. Fusion in Computer Vision Gregory K. Myers, Cees G. M. Snoek, Ramakant Nevatia, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Chen Sun, Amirhossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders
2014	J	`jnl`	Evaluating multimedia features and fusion for example-based event detection. Mach. Vis. Appl. Gregory K. Myers, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Ramakant Nevatia, Chen Sun, Amirhossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek
2014	A*	`conf`	Joint question clustering and relevance prediction for open domain non-factoid question answering. WWW Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan
2013	—	`conf`	Sparse conditional mixture model: late fusion with missing scores for multimedia event detection. Multimedia Content and Mobile Devices Ramesh Nallapati, Eric Yeh, Gregory K. Myers
2012	—	`conf`	Multi-instance Multi-label Learning for Relation Extraction. EMNLP-CoNLL Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning
2012	—	`conf`	The 2012 SESAME Multimedia Event Detection (MED) System. TRECVID Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Stephanie Pancoast, Julien van Hout, Eric Yeh, Amirhossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet
2011	A	`conf`	LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky
2011	C	`conf`	Risk analysis for intellectual property litigation. ICAIL Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning
2011	—	`conf`	The SESAME MED System. TRECVID Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Eric Yeh, Dennis C. Koelma, Xirong Li, Masoud Mazloom, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet
2011	A	`conf`	TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. AISTATS Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning
2009	A*	`conf`	Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. EMNLP Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning
2008	A*	`conf`	Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
2008	A*	`conf`	Joint latent topic models for text and citations. KDD Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen
2008	A*	`conf`	Legal Docket Classification: Where Machine Learning Stumbles. EMNLP Ramesh Nallapati, Christopher D. Manning
2008	A	`conf`	Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM Ramesh Nallapati, William W. Cohen
2007	—	`conf`	A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
2007	A*	`conf`	Multiscale topic tomography. KDD Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung
2007	—	`conf`	Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops Ramesh Nallapati, William W. Cohen, John D. Lafferty
2007	—	`conf`	Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing
2004	A*	`conf`	Discriminative models for information retrieval. SIGIR Ramesh Nallapati
2004	A	`conf`	Event threading within news topics. CIKM Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan
2003	A	`conf`	Relevant query feedback in statistical language modeling. CIKM Ramesh Nallapati, W. Bruce Croft, James Allan
2003	—	`conf`	Semantic Language Models for Topic Detection and Tracking. HLT-NAACL Ramesh Nallapati
2002	A	`conf`	Capturing term dependencies using a language model based on sentence trees. CIKM Ramesh Nallapati, James Allan