Publications

	GEMv2: Multilingual NLG Benchmarking in a Single Line of Code Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Štajner, Sebastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin Adewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou arXiv 2022 PDF
	Leveraging Locality in Abstractive Text Summarization Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed H. Awadallah, Dragomir Radev arXiv 2022 PDF
	R2D2: Robust Data-to-Text with Replacement Detection Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev arXiv 2022 PDF
	Learning from Self-Sampled Correct and Partially-Correct Programs Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao arXiv 2022 PDF
	Twist Decoding: Diverse Generators Guide Each Other Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith arXiv 2022 PDF
	You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings Zeerak Talat, Aurélie Névéol, Stella Biderman, Miruna Clinciu, Manan Dey, Shayne Longpre, Sasha Luccioni, Maraim Masoud, Margaret Mitchell, Dragomir Radev, Shanya Sharma, Arjun Subramonian, Jaesung Tae, Samson Tan, Deepak Tunuguntla, Oskar Van Der Wal Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models PDF
	Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu, Siyuan Li, Lirong Wu, Stan Z. Li, Dragomir Radev, Qiang Zhang arXiv 2022 PDF
	Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding Fang Wu, Qiang Zhang, Dragomir Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li arXiv 2022 PDF
	Data Governance in the Age of Large-Scale Data-Driven Language Technology Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell FAccT 2022 PDF
	Beam Decoding with Controlled Patience Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith arXiv 2022 PDF Code
	Surfer100: Generating Surveys From Web Resources on Wikipedia-style Irene Li, Alexander Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev LREC 2022 PDF Code
	EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Dragomir Radev arXiv 2022 PDF Code
	KAT: A Knowledge Augmented Transformer for Vision-and-Language Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao NAACL 2022 PDF
	CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir Radev NAACL 2022 PDF
	Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev NAACL 2022 PDF
	Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution Irene Li, Linfeng Song, Kun Xu and Dong Yu ACL 2022
	Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed H. Awadallah, Dragomir Radev, Rui Zhang ACL 2022 PDF Code
	DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H. Awadallah, Dragomir Radev ACL 2022 PDF Code
	BRIO: Bringing Order to Abstractive Summarization Yixin Liu, Pengfei Liu, Dragomir Radev, Graham Neubig ACL 2022 PDF Code
	PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Fevry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged S. Al-shaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir Radev, Mike Tian-Jian Jiang, Alexander M. Rush arXiv PDF Code
	FeTaQA: Free-form Table Question Answering Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev TACL 2022 PDF Code
	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu arXiv 2022 PDF Code
	CLICKER: A Computational LInguistics Classification Scheme for Educational Resources Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir Radev arXiv 2021 PDF Code
	A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation Irene Li, Thomas George, Alexander Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire and Dragomir Radev arXiv 2021 PDF
	AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona Diab arXiv 2021 PDF
	Testing Cross-Database Semantic Parsers Using Canonical Utterances Heather Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2021) PDF
	DocNLI: A Large-scale Dataset for Document-level Natural Language Inference Wenpeng Yin, Dragomir Radev, Caiming Xiong ACL'21 Findings PDF
	Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li and Dragomir Radev RepL4NLP Workshop, ACL, 2021 PDF
	Heterogeneous Graph Neural Networks for Multi-label Text Classification Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong and Toyotaro Suzumura arXiv 2021 PDF
	Detecting Bias in Transfer Learning Approaches for Text Classification Irene Li arXiv 2021 PDF
	Global Data Science Project for COVID-19 Summary Report Dario Garcia-Gasulla, Sergio Alvarez Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel P’erez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li arXiv 2021 PDF
	Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains Irene Li, Vanessa Yan, Dragomir Radev Efficient Natural Language and Speech Processing (ENLSP) Workshop, NeurIPS 2021 PDF
	Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization Ansong Ni, Matt Gardner, and Pradeep Dasigi EMNLP 2021 PDF
	An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next Yusen Zhang*, Ansong Ni*, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, and Dragomir Radev EMNLP 2021 Findings PDF
	SummerTime: Text Summarization Toolkit for Non-experts Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, and Dragomir Radev EMNLP 2021 (Demo Track) PDF
	Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlalı, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz, Dragomir Radev arXiv 2021 PDF
	BookSum: A Collection of Datasets for Long-form Narrative Summarization Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev arXiv PDF
	ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining Alexander Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad and Dragomir Radev ACL 2021 PDF
	Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir Radev ACL 2021 PDF
	QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu and Dragomir Radev NAACL 2021 PDF
	Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq Joty, Dragomir Radev, Yashar Mehdad NAACL 2021 PDF
	DART: Open-Domain Structured Data Record to Text Generation Linyong Nan, Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher and Nazneen Fatema Rajani NAACL 2021 PDF BibTex Code
	GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong ICLR 2021 PDF
	SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah ICLR 2021 PDF
	Identification of patients with carotid stenosis using natural language processing Xiao Wu, Yuzhe Zhao, Dragomir Radev, Ajay Malhotra European Radiology 2020 PDF
	SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev TACL 2020 PDF BibTex Code
	Semantic Evaluation for Text-to-SQL with Distilled Test Suites Ruiqi Zhong, Tao Yu, Dan Klein EMNLP 2020 PDF
	Understanding and Improving Word Embeddings through a Neuroscientific Lens Sam Fereidooni, Viola Mocz, Dragomir Radev, Marvin Chun BIORXIV 2020 PDF
	R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning Irene Li, Alexander Fabbri, Swapnil Hingmire, Dragomir Radev COLING 2020 PDF Code
	Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong EMNLP 2020 PDF
	CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher ARXIV 2020 PDF
	AAN: Developing Educational Tools for Work Force Training Alexander R. Fabbri, Irene Li, Swapnil Hingmire, Dragomir Radev SciNLP workshop at AKBC 2020 PDF
	What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing Irene Li, Yixin Li, Tianxiao Li, Sergio Alvarez-Napagao, Dario Garcia ARXIV 2020 PDF Code
	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang Proceedings of ACL 2020 PDF BibTex
	ESPRIT: Explaining Solutions to Physical ReasonIng Tasks Nazneen Fatema Rajani*, Rui Zhang*, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir Radev Proceedings of ACL 2020 PDF BibTex Code
	Extending Sparse Text with Induced Domain-Specific Lexicons and Embeddings: A Case Study on Predicting Donations MeiXing Dong, Rada Mihalcea, Dragomir Radev Computer Speech & Language, 2019 PDF
	A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı, Cesar Caraballo, Shiwani Mahajan, Harlan Krumholz, Dragomir Radev Machine Learning for Health Workshop at NeurIPS 2019 PDF BibTex Code
	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev Proceedings of EMNLP 2019 PDF BibTex
	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev Proceedings of EMNLP 2019 PDF BibTex Code
	Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev Proceedings of ACL 2019 PDF Code
	Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, Neha Verma, William Hu, Dragomir Radev Proceedings of ACL 2019 PDF
	SParC: Cross-Domain Semantic Parsing in Context Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev Proceedings of ACL 2019 PDF BibTex Code
	This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation Rui Zhang and Joel Tetreault Proceedings of ACL 2019 PDF
	Syntax-aware Neural Semantic Role Labeling with Supertags Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev, Owen Rambow Proceedings of NAACL 2019 PDF
	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman, Dragomir Radev Proceedings of AAAI 2019 PDF BibTex Code
	Overview and Results of CL-SciSumm Shared Task 2019 Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag, Min-Yen Kan Proceedings of BIRNDL at SIGIR 2019 PDF BibTex Code
	What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning Irene Li, Alexander Fabbri, Robert Tung, Dragomir Radev Proceedings of AAAI 2019 PDF
	TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts Michihiro Yasunaga and John Lafferty Proceedings of AAAI 2019 PDF BibTex
	The CL-SciSumm Shared Task 2018: Results and Key Insights Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir Radev, Min-Yen Kan Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) PDF BibTex Code
	Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev Proceedings of EMNLP 2018 PDF BibTex Code
	SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir Radev Proceedings of EMNLP 2018 PDF BibTex Code
	TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation Alexander Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Weitai Ting, Robert Tung, Caitlin Westerfield, Dragomir Radev Proceedings of ACL 2018 PDF BibTex Code
	Improving Text-to-SQL Evaluation Methodology Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan Dhanalakshmi Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir Radev Proceedings of ACL 2018 PDF BibTex Code
	Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering Rui Zhang, Cicero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir Radev Proceedings of ACL 2018, Short PDF BibTex
	TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir Radev Proceedings of NAACL 2018, Short PDF BibTex Code
	Robust Multilingual Part-of-Speech Tagging via Adversarial Training Michihiro Yasunaga, Jungo Kasai, Dragomir Radev Proceedings of NAACL 2018 PDF BibTex Code
	End-to-end Graph-based TAG Parsing with Neural Networks Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow Proceedings of NAACL 2018 PDF BibTex Code
	Sentence Ordering using Recurrent Neural Networks Lajanugen Logeswaran, Honglak Lee, Dragomir Radev Proceedings of AAAI 2018 PDF BibTex
	Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir Radev Proceedings of AAAI 2018 PDF BibTex Code
	Cross-lingual Sentiment Transfer with Limited Resources Mohammad Sadegh Rasooli, Noura Farra, Axinia Radeva, Tao Yu, Kathleen McKeown Machine Translation, 2017 PDF BibTex Code
	Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev Proceedings of Computational Natural Language Learning (CoNLL-2017) PDF BibTex Slides