The Natural Language Group



"Identifying Distributional Perspective Differences from Colingual Groups" (Y. Tian, T. Chakrabarty, F. Morstatter, N. Peng), Workshop. NAACL, 2021.

"DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation" (S. Ghazarian, Z. Liu, T. Chakrabarty, X. Ma, A. Galstyan, N. Peng), Demo. NAACL, 2021.

"EventPlus: A Temporal Event Understanding Pipeline" (M. Ma, J. Sun, M. Yang, K-H. Huang, N. Wen, S. Singh, R. Han, N. Peng), Demo. NAACL, 2021.

"Nice Try, Kiddo: Ad Hominems in Dialogue Systems" (E. Sheng, K-W. Chang, P. Natarajan, N. Peng), Proc. NAACL, 2021.

"MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding" (T. Chakrabarty, X. Zhang, S, Muresan, N. Peng), Proc. NAACL, 2021.

"Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation" (S. Ghazarian, Z. Liu, Akash S. M, R. Weischedel, A. Galstyan, N. Peng), Proc. NAACL, 2021.

"Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning" (X. Chen, M. Boratko, M. Chen, S. Sankar Dasgupta, X. Li, A. McCallum), Proc. NAACL, 2021.

"Cross-lingual Entity Alignment with Incidental Supervision" (M. Chen, W. Shi, B. Zhou, D. Roth), Proc. EACL, 2021.

"Discourse Tagging for Scientific Evidence Extraction" (X. Li, G. Burns, N. Peng), Proc. EACL, 2021.

"Event-Centric Natural Language Understanding" (M. Chen, H. Zhang, Q. Ning, M. Li, H. Ji, D. Roth), Tutorial. AAAI, 2021.

"Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks"(C. Zhu, M. Chen, C. Fan, G. Cheng, Y. Zhang), Proc. AAAI, 2021.

"MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification" (W. Te-Lin, S. Singh, S. Paul, G. Burns, N. Peng), Proc. AAAI, 2021.

"GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction"  (W. Ahmad, N. Peng, K-W. Chang), Proc. AAAI, 2021.

"A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification" (G.Burns, X.Li, N.Peng), Proc. AAAI, 2021.

"Visual Pivoting for (Unsupervised) Entity Alignment" (F. Liu, M. Chen, D. Roth, N. Collier), Proc. AAAI, 2021

"Decoupling Global and Local Representations from/for Image Generation" (X.Ma), Proc. ICLR, 2021.


"Learning to Generalize for Sequential Decision Making" (X. Yin, R. Weischedel, J. May), Proc. EMNLP, 2020.

"Finding the Optimal Vocabulary Size for Neural Machine Translation" (T. Gowda, J, May), Proc. EMNLP, 2020. 

"Experience Grounds Language" (Y. Bisk, A. Holtzman, J. Thomason, J. Andreas, Y. Bengio, J. Chai, M. Lapata, A. Lazaridou, J. May, A. Nisnevich, N. Pinto and J. Turian), Proc. EMNLP, 2020. 

"Connecting the Dots: Event Graph Schema Induction with Path Language Modeling" (M. Li, Q. Zeng, Y. Lin, K. Cho, H. Ji, J. May, N. Chambers and C. Voss), Proc. EMNLP, 2020. 

"Content Planning for Neural Story Generation with Aristotelian Rescoring" (S. Goldfarb-Tarrant, T. Chakrabarty, R. Weischedel, and N. Peng), Proc. EMNLP, 2020. 

"Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation" (T. Chakrabarty, S. Muresan, and N. Peng), 
Proc. EMNLP, 2020. 

"Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction" (R. Han, Y. Zhou, and N. Peng), Proc. EMNLP, 2020. 

"TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions" (Q. Ning, H. Wu, R. Han, N. Peng, M. Gardner, and D. Roth), Proc. EMNLP, 2020. 

"STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation" (N. Akoury, S. Wang, J. Whiting, S. Hood, N. Peng, and M. Iyyer), Proc. EMNLP, 2020. 

"Towards Controllable Biases in Language Generation" (E. Sheng, K.W. Chang, P. Natarajan, and N. Peng), Proc. EMNLP, 2020. 

"Biomedical Event Extraction with Hierarchical Knowledge Graphs" (K.H. Huang, M. Yang, and N. Peng), Proc. EMNLP, 2020. 

"Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering" (P. Wang, N. Peng, F. Ilievski, P. Szekely, and X. Ren), Proc. EMNLP, 2020.

"Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition" (N. Mehrabi, T. Gowda, F. Morstatter, N. Peng and A. Galstyan), Proc. ACM, 2020.

"Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training" (A. Spangher, N. Peng, J. May and E. Ferrara), Proc. ACL NLP COVID-19 workshop, 2020.

"Grounding Conversations with Improvised Dialogues" (J. Cho, J. May), Proc. ACL, 2020.

 "R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge" (T. Chakrabarty, D. Ghosh, S. Muresan and N. Peng), Proc. ACL, 2020.
"Modeling 'Newsworthiness' for Lead-Generation Across Corpora" (A. Spangher, E. Ferrara, J. May, N. Peng), Proc. Computation + Journalism, 2020. 

"Don't quote me on that': Finding Mixtures of Sources in News Articles" (A. Spangher, J. May, E. Ferrara, N. Peng), Proc. Computation + Journalism, 2020.

"Cross-lingual Structure Transfer for Zero-resource Event Extraction" (D. Lu, A. Subburathinam, H. Ji, J. May, S. Chang, A. Sil, C. Voss), Proc. LREC, 2020.  

"Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems" (S. Ghazarian, R. Weischedel, A. Galstyan and N. Peng), Proc. AAAI, 2020.

"Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization" (X. Ma), 2020.


"Espresso: A Fast End-to-end Neural Speech Recognition Toolkit" (Y. Wang, T. Chen, H. Xu, S. Ding, H. Lv, Y. Shao, N. Peng, L. Xie, S. Watanabe, S. Khudanpur), Proc. ASRU, 2019.

"Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining" (X. Pan, T. Gowda, H. Ji, J. May, S. Miller), Proc. DeepLo, 2019.

"Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources" (M. M'hamdi, M. Freedman, J. May), Proc. CoNLL, 2019. 

"Deep Structured Neural Network for Event Temporal Relation Extraction" (R. Han, I-H. Hsu, M. Yang, A. Galstyan, R. Weischedel and N. Peng), Proc. CoNLL, 2019.

"Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages" (W. Ahmad, Z. Zhang, X. Ma, K-W. Chang and N. Peng), Proc. CoNLL, 2019.

"Learning A Unified Named Entity Tagger from Multiple Partially Annotated Corpora For Efficient Adaptation" (X. Huang, L. Dong, E. Boschee and N. Peng), Proc, CoNLL, 2019.

"Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects" (J. Mullenbach, J. Gordon, N. Peng and J. May), Proc. EMNLP, 2019.  

"What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis" (X. Huang, J. May and N. Peng), Proc. EMNLP, 2019.  

"Cross-lingual Structure Transfer for Relation and Event Extraction" (A. Subburathinam, D. Lu, H. Ji, J. May, S. Chang, A. Sil and C. Voss), Proc. EMNLP, 2019. 

"Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction" (R. Han, C. Ning and N. Peng), Proc. EMNLP, 2019.

"Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing" (T. Meng, N. Peng and K-W Chang), Proc. EMNLP, 2019.

"The Woman Worked as a Babysitter: On Biases in Language Generation" (E. Sheng, K-W Chang, P. Natarajan and N. Peng), Proc. EMNLP, 2019.

"Debiasing Community Detection: The Importance of Lowly-Connected Nodes" (N. Mehrabi, F. Morstatter, N. Peng, A. Galstyan), Proc. The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, (ASONAM), 2019.

"Comprehensible Context-driven Text Game Playing" (X. Yin and J. May), Proc. CoG, 2019.  

"SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage" (E. Boschee, J. Barry, J. Billa, M. Freedman, T. Gowda, C. Lignos, C. Palen-Michel, M. Pust, B. K. Khonglah, S. Madikeri, J. May and S. Miller), Proc. ACL Demo Sessions, 2019. 

"Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation" (N. Pourdamghani, N. Aldarrab, M. Ghazvininejad, K. Knight, J. May), Proc. ACL, 2019.  

"Proceedings of the 13th International Workshop on Semantic Evaluation" (J. May, E. Shutova, A. Herbelot, X. Zhu, M. Apidianaki, S. M. Mohammad), 2019. 

"Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging" (L. Huang, H. Ji, J. May), Proc. NAACL, 2019. 

"A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages" (R. Cardenas, Y. Lin, H. Ji, J. May), Proc. NAACL, 2019.

"Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding" (R. Han, M. Liang, B. Alhafni, N. Peng), Proc. NAACL Workshop on Narrative Understanding , 2019.

"Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings"(S. Ghazarian, T-Z Wei, A. Galstyan, N. Peng), Proc. NAACL NeuralGen Workshop, 2019.

"Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation" (S. Goldfarb-Tarrant, H. Feng, N. Peng), Proc. NAACL 2019, system demo.

"Pun Generation with Surprise" (H. He*, N. Peng*, P. Liang), Proc. NAACL, 2019.

"On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing" (Wasi Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard Hovy, Kai-Wei Chang, Nanyun Peng), NAACL, 2019.

"Building Deep Learning Models for Evidence Classification from the Open Access Biomedical Literature" (G. Burns, X. Li, N. Peng), DATABASE journal, 2019.

"Plan-And-Write: Towards Better Automatic Storytelling" (L. Yao*, N. Peng*, R. Weischedel, K. Knight, D. Zhao and R. Yan), Proc, AAAI, 2019.


"Translating a Language You Don't Know In the Chinese Room" (U. Hermjakob, J. May, M. Pust, K. Knight), Proc. ACL Demo Sessions, 2018. 

"Out-of-the-box Universal Romanization Tool uroman" (U. Hermjakob, J. May, K. Knight), Proc. ACL Demo Sessions, 2018. Best Demo Award

"Stack-Pointer Networks for Dependency Parsing" (X. Ma, Z. Hu, J. Liu, N.Peng, G. Neubig, E. Hovy), Proc. ACL, 2018."Towards Controllable Story Generation", (N. Peng, M. Ghazvininejad, J. May, K. Knight), Proc. of the 1st Workshop on Storytelling, 2018. 

"Towards Controllable Story Generation" (N. Peng, M. Ghazvininejad, J. May, K. Knight), Proc. of the 1st Workshop on Storytelling, 2018. 

"Proceedings of the 12th International Workshop on Semantic Evaluation" (M. Apidianaki, S. M. Mohammad, J. May, E. Shutova, S. Bethard, M. Carpuat), 2018. 

"ELISA-EDL: A Cross-Lingual Entity Extraction, Linking and Localization System" (B. Zhang, Y. Lin, X. Pan, D. Lu, J. May, K. Knight, H. Ji), Proc. NAACL Demo Sessions, 2018. 

"Learning to Converse with Noisy Data: Generation with Calibration" (M. Shang, Z. Fu, N. Peng, Y. Feng, D. Zhao and R. Yan), Proc. IJCAI, 2018.

"Recurrent Neural Networks as Weighted Language Recognizers" (Y. Chen, S. Gilroy, A. Maletti, J. May, K. Knight), Proc. NAACL, 2018. Outstanding Paper Award. 

"Scalable Construction and Reasoning of Massive Knowledge Bases" (X. Ren, N. Peng, W. Yang Wang), Proc. NAACL tutorial, 2018.

"Style Transfer in Text: Exploration and Evaluation" (Z. Fu, X. Tan, N. Peng, D. Zhao and R. Yan), Proc. AAAI, 2018.


"SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation", (J. May, J. Priyadarshi), Proc. SemEval, 2017.

"Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems", (L. Huang, J. May, X. Pan, H. Ji, X. Ren, J. Han, L. Zhao, J. A. Hendler), Big Data, volume 5, no. 1 (March, 2017).

"Deciphering Related Languages" (N. Pourdamghani and K. Knight), Proc. EMNLP, 2017.

"Humans Outperform Machines at the Bilingual Shannon Game" (M. Ghazvininejad and K. Knight), Entropy 19(1), 2017.

"Hafez: an Interactive Poetry Generation System" (M. Ghazvininejad*, X. Shi*, J. Priyadarshi, and K. Knight), Proc. ACL Demo Track, 2017. Best Demo Award.

"Speeding up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary" (X. Shi and K. Knight), Proc. ACL, 2017..

"Cross-lingual Name Tagging and Linking for 282 Languages" (X. Pan, B. Zhang, J. May, J. Nothman, K. Knight and H. Ji), Proc. ACL, 2017.

"Biomedical Event Extraction using Abstract Meaning Representation" (S. Rao, D. Marcu, K. Knight, and H. Daume), Proc. BioNLP Workshop, ACL, 2017.

"Incident-Driven Machine Translation and Name Tagging for Low-resource Languages" (U. Hermjakob, Q. Li, D. Marcu, J. May, S. J. Mielke, N. Pourdamghani, M. Pust, X. Shi, K. Knight, T. Levinboim, K. Murray, D. Chiang, B. Zhang, X. Pan, D. Lu, Y. Lin, and H. Ji), Machine Translation, 2017.

"Team ELISA System for DARPA LORELEI Speech Evaluation 2016" (P. Papadopoulos, R. Travadi, C. Vaz, N. Malandrakis, U. Hermjakob, N. Pourdamghani, M. Pust, B. Zhang, X. Pan, D. Lu, Y. Lin, O. Glembek, M. Karthick B, M. Karafiat, L. Burget, M. Hasegawa-Johnson, H. Ji, J. May,, K. Knight, and S. Narayanan), Proc. Interspeech, 2017.

"Structured Generation of Technical Reading Lists" (J. Gordon, S. Aguilar, E. Sheng, and G. Burns), Proc. 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2017.

"An Investigation into the Pedagogical Features of Documents" (E. Sheng, P. Natarajan, J. Gordon, and G. Burns), Proc. 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2017.


"Evaluating Induced CCG Parsers on Grounded Semantic Parsing" (Y. Bisk, S. Reddy, J. Blitzer, J. Hockenmaier, and M. Steedman), Proc. EMNLP, 2016.

"Natural Language Communication with Robots" (Y. Bisk, D. Yuret, and D. Marcu), Proc. NAACL, 2016.

"Supertagging with LSTMs" (A. Vaswani, Y. Bisk, K. Sagae, and R. Musa), Proc. NAACL, 2016.

"Towards a Dataset for Human Computer Communication via Grounded Language Acquisition" (Y. Bisk, D. Marcu, and W. Wong), Proc. AAAI Workshop on Symbolic Cognitive Systems, 2016.

"SemEval-2016 Task 8: Meaning Representation Parsing" (J. May), Proc. SemEval, 2016.

"Distribution and Inference" (J. Hobbs and J. Gordon), Proc. ESSLLI Workshop on Distributional Semantics and Linguistic Theory (DSALT), 2016.

"Modeling Concept Dependencies in a Scientific Corpus" (J. Gordon, L. Zhu, A. Galstyan, P. Natarajan, and G. Burns), Proc. ACL, 2016.

"Generating Topical Poetry" (M. Ghazvininejad, X. Shi, Y. Choi, and K. Knight), Proc. EMNLP, 2016.

"Why Neural Translations are the Right Length" (X. Shi, K. Knight, and D. Yuret), Proc. EMNLP, 2016.

"Does String-Based Neural MT Learn Source Syntax?" (X. Shi, I. Padhi, and K. Knight), Proc. EMNLP, 2016.

"Transfer Learning for Low-Resource Neural Machine Translation" (B. Zoph, D. Yuret, J. May, and K. Knight), Proc. EMNLP, 2016.

"Unsupervised Neural Hidden Markov Models" (K. Tran, Y. Bisk, A. Vaswani, D. Marcu, and K. Knight), Proc. EMNLP Workshop on Structured Prediction, 2016.

"Obfuscating Gender in Social Media Writing" (S. Reddy and K. Knight), Proc. EMNLP Workshop on Natural Language Processing and Computational Social Science, 2016.

"Generating English from Abstract Meaning Representation" (N. Pourdamghani and K. Knight), Proc. INLG, 2016.

"Grapheme-to-Phoneme Models for (Almost) Any Language" (A. Deri and K. Knight), Proc. ACL, 2016.

"A Multi-media Approach to Cross-lingual Entity Knowledge Transfer" (D. Lu, X. Pan, N. Pourdamghani, H. Ji, S.-F. Chang and K. Knight), Proc. ACL, 2016.

"Leveraging Entity Linking and Related Language Projection to Improve Name Transliteration" (Y. Lin, X. Pan, A. Deri, H. Ji, and K. Knight), Proc. ACL 2016 Workshop on Named Entities, 2016.

"Multi-Source Neural Translation" (B. Zoph and K. Knight), Proc. NAACL, 2016.

"Simple, Fast Noise Contrastive Estimation for Large RNN Vocabularies" (B. Zoph, A. Vaswani, J. May, and K. Knight), Proc. NAACL, 2016.

"Name Tagging for Low-Resource Incident Languages Based on Expectation-Driven Learning" (B. Zhang, X. Pan, T. Wang, A. Vaswani, H. Ji, K. Knight, and D. Marcu), Proc. NAACL, 2016.

"Extracting Structured Scholarly Information from the Machine Translation Literature" (E. Choi, M. Horvat, J. May, K. Knight, D. Marcu), Proc. LREC, 2016.

"From Image to Translation: Processing the Endangered Nyushu Script" (T. Zhang, A. Chowdhury, N. Dhulekar, J. Xia, K. Knight, H. Ji, B. Yener, L. Zhao), ACM Transactions on Asian and Low-Resource Language Information Processing, 15(4), 2016.


"Model Invertibility Regularization (MIR): Sequence Alignment With or Without Parallel Data" (T. Levinboim, A. Vaswani, and D. Chiang), Proc. NAACL 2015.

"A Corpus of Rich Metaphor Annotation" (J. Gordon, J. Hobbs, J. May, M. Mohler, F. Morbini, B. Rink, M. Tomlinson, S. Wertheim), Proc. Workshop on Metaphor in NLP, 2015.

"High-Precision Abductive Mapping of Multilingual Metaphors" (J. Gordon, J. Hobbs, J. May, F. Morbini), Proc. Workshop on Metaphor in NLP, 2015.

"How to Make a Frenemy: Multitape FSTs for Portmanteau Generation" (A. Deri and K. Knight), Proc. NAACL 2015.

"Unsupervised Entity Linking with Abstract Meaning Representation" (X. Pan, T. Cassidy, U. Hermjakob, H. Ji, and K. Knight), Proc. NAACL 2015.

"How to Memorize a Random 60-Bit String" (M. Ghazvininejad and K. Knight), Proc. NAACL 2015.

"Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation", (M. Pust, U. Hermjakob, K. Knight, D. Marcu, J. May), Proc. EMNLP 2015.

"How Much Information Does a Human Translator Add to the Original?" (B. Zoph, M. Ghazvininejad, and K. Knight), Proc. EMNLP 2015.

"Unifying Bayesian Inference and Vector Space Models for Improved Decipherment" (Q. Dou, A. Vaswani, K. Knight, and C. Dyer), Proc. ACL 2015.

"Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction" (Y. Bisk and J. Hockenmaier), Proc. ACL 2015.

"Labeled Grammar Induction with Minimal Supervision" (Y. Bisk, C. Christodoulopoulos and J. Hockenmaier), Proc. ACL 2015.

"Building and Using a Knowledge Graph to Combat Human Trafficking" (Szekely, P.; Knoblock, C. A.; Slepicka, J.; Philpot, A.; Singh, A.; Yin, C.; Kapoor, D.; Natarajan, P.; Marcu, D.; Knight, K.; Stallard, D.; Karunamoorthy, S. S.; Bojanapalli, R.; Minton, S.; Amanatullah, B.; Hughes, T.; Tamayo, M.; Flynt, D.; Artiss, R.; Chang, S.; Chen, T.; Hiebel, G.; and Ferreira, L.), Proc. ISWC 2015.