Parminder Bhatia

89 papers A* 10C 2Journal 53Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector. CoRR Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha A. Kass-Hout
2025	A*	`conf`	Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. AAAI Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025	J	`jnl`	Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations. CoRR Zhijian Yang, Noel DSouza, István Megyeri, Xiaojian Xu, Amin Honarmandi Shandiz, Farzin Haddadpour, Krisztian Koos, László Ruskó, Emanuele Valeriano, Bharadwaj Swaninathan, Lei Wu, Parminder Bhatia, Taha A. Kass-Hout, Erhan Bas
2025	—	`conf`	Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs. NAACL (Long Papers) Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2025	A*	`conf`	Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. CVPR Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025	J	`jnl`	Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. CoRR Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025	—	`conf`	Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. NAACL (Findings) Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao
2025	—	`conf`	FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. KDD (2) Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
2025	—	`conf`	Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. ACL (1) Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025	J	`jnl`	Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. CoRR Aofei Chang, Le Huang, Alex J. Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025	J	`jnl`	Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes. CoRR Alex Boyd, Andrew Warrington, Taha A. Kass-Hout, Parminder Bhatia, Danica Xiao
2025	J	`jnl`	MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images. CoRR Sicheng Zhou, Lei Wu, Cao Xiao, Parminder Bhatia, Taha A. Kass-Hout
2025	J	`jnl`	MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models. CoRR Aofei Chang, Le Huang, Parminder Bhatia, Taha A. Kass-Hout, Fenglong Ma, Cao Xiao
2025	A*	`conf`	Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. ICLR Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025	J	`jnl`	ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training. CoRR Chenliang Li, Adel Elmahdy, Alex Boyd, Zhongruo Wang, Alfredo García, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Mingyi Hong
2024	—	`conf`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	J	`jnl`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
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`	Deep Linear Hawkes Processes. CoRR Yuxin Chang, Alex Boyd, Cao Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington
2024	J	`jnl`	Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs. CoRR Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2024	J	`jnl`	Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
2024	A*	`conf`	KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. NeurIPS Pengcheng Jiang, Lang Cao, Cao (Danica) Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024	J	`jnl`	KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024	J	`jnl`	Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2024	J	`jnl`	Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images. CoRR Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
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	—	`conf`	TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024	J	`jnl`	TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024	—	`conf`	Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
2023	—	`conf`	A Static Evaluation of Code Completion by Large Language Models. ACL (industry) Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2023	J	`jnl`	A Static Evaluation of Code Completion by Large Language Models. CoRR Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, 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	J	`jnl`	Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
2023	A*	`conf`	Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
2023	J	`jnl`	Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
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	J	`jnl`	One-shot Localization and Segmentation of Medical Images with Foundation Models. CoRR Deepa Anand, Gurunath Reddy M, Vanika Singhal, Dattesh D. Shanbhag, K. S. Shriram, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha A. Kass-Hout
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
2023	J	`jnl`	SonoSAM - Segment Anything on Ultrasound Images. CoRR Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi
2023	—	`conf`	Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, 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	J	`jnl`	Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold
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	J	`jnl`	Improving Early Sepsis Prediction with Multi Modal Learning. CoRR Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar S. Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout
2021	J	`jnl`	Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold
2021	J	`jnl`	Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. CoRR Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia
2021	—	`conf`	Neural Entity Recognition with Gazetteer based Fusion. ACL/IJCNLP (Findings) Qing Sun, Parminder Bhatia
2021	J	`jnl`	Neural Entity Recognition with Gazetteer based Fusion. CoRR Qing Sun, Parminder Bhatia
2021	J	`jnl`	Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes. CoRR Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia
2021	—	`conf`	Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. ACL/IJCNLP (Findings) Luyang Kong, Christopher Winestock, Parminder Bhatia
2021	J	`jnl`	Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. CoRR Luyang Kong, Christopher Winestock, Parminder Bhatia
2020	J	`jnl`	AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19. CoRR Parminder Bhatia, Kristjan Arumae, Nima Pourdamghani, Suyog Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy, Taha A. Kass-Hout
2020	—	`conf`	An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. EMNLP (1) Kristjan Arumae, Qing Sun, Parminder Bhatia
2020	J	`jnl`	An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. CoRR Kristjan Arumae, Qing Sun, Parminder Bhatia
2020	J	`jnl`	CALM: Continuous Adaptive Learning for Language Modeling. CoRR Kristjan Arumae, Parminder Bhatia
2020	J	`jnl`	COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
2020	—	`ch.`	Dynamic Transfer Learning for Named Entity Recognition. Precision Health and Medicine Parminder Bhatia, Kristjan Arumae, E. Busra Celikkaya
2020	—	`ch.`	End-to-End Joint Entity Extraction and Negation Detection for Clinical Text. Precision Health and Medicine Parminder Bhatia, E. Busra Celikkaya, Mohammed Khalilia
2020	J	`jnl`	Improve black-box sequential anomaly detector relevancy with limited user feedback. CoRR Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot
2020	A*	`conf`	LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
2020	—	`conf`	Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020	J	`jnl`	Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020	J	`jnl`	Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network. CoRR Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi
2019	C	`conf`	Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. ICMLA Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel
2019	J	`jnl`	Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service. CoRR Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel
2019	—	`conf`	Joint Entity Extraction and Assertion Detection for Clinical Text. ACL (1) Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia
2019	J	`jnl`	LATTE: Latent Type Modeling for Biomedical Entity Linking. CoRR Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
2019	—	`conf`	Relation Extraction using Explicit Context Conditioning. NAACL-HLT (1) Gaurav Singh, Parminder Bhatia
2019	J	`jnl`	Relation Extraction using Explicit Context Conditioning. CoRR Gaurav Singh, Parminder Bhatia
2019	J	`jnl`	Towards Annotating and Creating Sub-Sentence Summary Highlights. CoRR Kristjan Arumae, Parminder Bhatia, Fei Liu
2019	C	`conf`	Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. ICMLA Parminder Bhatia, Kristjan Arumae, Busra Celikkaya
2018	J	`jnl`	Dynamic Transfer Learning for Named Entity Recognition. CoRR Parminder Bhatia, Kristjan Arumae, Busra Celikkaya
2018	J	`jnl`	End-to-end Joint Entity Extraction and Negation Detection for Clinical Text. CoRR Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia
2018	J	`jnl`	Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning. CoRR Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha A. Kass-Hout
2017	J	`jnl`	soc2seq: Social Embedding meets Conversation Model. CoRR Parminder Bhatia, Marsal Gavaldà, Arash Einolghozati
2016	A*	`conf`	Morphological Priors for Probabilistic Neural Word Embeddings. EMNLP Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
2016	J	`jnl`	Morphological Priors for Probabilistic Neural Word Embeddings. CoRR Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
2015	A*	`conf`	Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015	J	`jnl`	Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein