Publications
2023
"First Steps Towards a Source Recommendation Engine: Investigating How Sources Are Used in News Articles" (A. Spangher, J. Youn, J. May, N. Peng), Proc. The Joint Computation + Journalism European Data & Computational Journalism Conference, 2023.
"Cross-lingual Continual Learning" (M. M'hamdi, X. Ren, J. May), Proc. ACL, 2023.
"WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models" (V. Felkner, H. Chang, E. Jang, J. May), Proc. ACL, 2023.
"RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation" (S. Liu, H. Cho, M. Freedman, X. Ma, J. May), Proc. ACL, 2023.
"Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning" (M. Gheini, X. Ma, J. May), Findings. ACL, 2023.
"Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures" (H. Bonab, A. Joshi, R. Bhatia, A. Gandhi, V. Huddar, J. Naik, M. Al-Darabsah, C. Teo, J. May, T. Agarwal, V. Petricek), Proc. The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom), 2023.
"Mega: Moving Average Equipped Gated Attention" (X. Ma, C. Zhou, X. Kong, J. He, L. Gui, G. Neubig, J. May, L. Zettlemoyer), Proc. ICLR, 2023.
"Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction" (P. Yu, J. May, H. Ji), Findings. EACL, 2023.
2022
"Machine Translation Robustness to Natural Asemantic Variation" (J. Bremerman, X. Ren, J. May), Proc. EMNLP, 2022.
"Segmenting Numerical Substitution Ciphers" (N. Aldarrab, J. May), Proc. EMNLP, 2022.
"Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics" (H. Cho, C. Sankar, C. Lin, K. R. Sadagopan, S. Shayandeh, A. Celikyilmaz, J. May, A. Beirami), Findings of EMNLP. 2022.
"Investigating the Benefits of Free-Form Rationales" (J. Sun, S. Swayamdipta, J. May, X. Ma) Findings of EMNLP, 2022.
"Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models"(V. Felkner, H. Chang, E. Jang, J. May), Proc. NAACL Workshop, 2022.
“Controllable Text Generation for Open-Domain Creativity and Fairness” (N. Peng), Proc. IJCAI, 2022.
“News Edits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge” (A. Spangher, X. Ren, J. May, N. Peng), Proc. NAACL, 2022. (*Outstanding Paper Award)
"Building an Event Extractor with Only a Few Examples" (P. Yu, Z. Zhang, C. Voss, J. May, H. Ji), Proc. NAACL Workshop, 2022.
"Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores" (A. Joshi, S. Vishwanath, C. H. Teo, V. Petricek, V. Vishwanathan, R. Bhagat, J. May), Proc. NAACL, 2022.
"Opponent Modeling in Negotiation Dialogues by Related Data Adaptation" (K. Chawla, G. Lucas, J. May, J. Gratch), Findings of NAACL, 2022.
“Zero-Shot Sonnet Generation with Discourse-Level Planning and Aesthetics Features” (Y. Tian, N. Peng), Proc. NAACL, 2022.
“DEGREE: A Data-Efficient Generative Event Extraction Model” (I-H Hsu, K-H Huang, E. Boschee, S. Miller, P. Natarajan, K-W. Chang, N. Peng), Proc. NAACL, 2022.
“Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts” (R. Han, H. Chen, Y. Tian, N. Peng), Proc. NAACL, 2022.
“FOAM: A Follower-aware Speaker Model for Vision-and-Language Navigation” (Z-Y. Dou, N. Peng), Proc. NAACL, 2022.
“AmbiPun: Generating Humorous Puns with Ambiguous Context” (A. Mittal, Y. Tian, N. Peng), Proc. NAACL, 2022.
“Socially Aware Bias Measurements for Hindi Language Representations” (V. Malik, S. Dev, A. Nishi, N. Peng, K-W Chang), Proc. NAACL, 2022.
“An Empirical Study of Training End-to-End Vision-and-Language Transformers” (Z-Y. Dou, Y. Xu, Z. Gan, J. Wang, S. Wang, L. Wang, C. Zhu, P. Zhang, L. Yuan, N. Peng, Z. Liu, M. Zeng), Proc. CVPR, 2022.
“DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations” (S. Ghazarian, N. Wen, A. Galstyan, N. Peng), Proc. ACL, 2022.
“Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction” (K-H Huang, I-H Hsu, P. Natarajan, K-W Chang, N. Peng), Proc. ACL, 2022.
“Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals” (T-L Wu, A. Spangher, P. Alipoormolabashi, M. Freedman, R. Weischedel, N. Peng), Proc. ACL, 2022.
“Fantastic Questions and Where to Find Them: Fairytale QA–An Authentic Dataset for Narrative Comprehension” (Y. Xu, D. Wang, M. Yu, D. Ritchie, B. Yao, T. Wu, Z. Zhang, T. Jia-Jun Li, N. Bradford, B. Sun, T. Hoang, Y. Sang, Y. Hou, X. Ma, D. Yang, N. Peng, Z. Yu, M. Warschauer), Proc. ACL, 2022.
“Sibylvariant Transformations for Robust Text Classification” (F.Y. Harel-Canada, M.A. Gulzar, N. Peng, M. Kim), Findings of ACL, 2022.
“On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark” (H. Sun, G. Xu, J. Deng, J. Cheng, C. Zheng, H. Zhou, N. Peng, X. Zhu, M. Huang), Findings of ACL, 2022.
“Towards a Unified View of Parameter-Efficient Transfer Learning” (J. He, C. Zhou, X. Ma, T. Berg-Kirkpatrick, G. Neubig), Proc. ICLR, 2022.
“Discourse-level Relation Extraction via Graph Pooling” (I-H. Hsu, X. Guo, P. Natarajan, N. Peng), Proc. AAAI, 2022. (*Best Paper Award)
“Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization” (Z. Dou, N. Peng), Proc. AAAI, 2022.
2021
"Explaining Face Presentation Attack Detection Using Natural Language" (H. Mirzaalian, M. Hussein, L. Spinoulas, J. May, W. Abd-Almageed), Proc. IEEE, 2021.
"Luna: Linear Unified Nested Attention" (X. Ma, X. Kong, S. Wang, C. Zhou, J. May, H. Ma, L. Zettlemoyer), Proc. NeurIPS, 2021.
"PERFUME: Programmatic Extraction and Refinement For Usability of Mathematical Expression" (N. Weideman, V. Felkner, W. Wu, J. May, C. Hauser, L. Garcia), Proc. CheckMATE, 2021.
“Contrastive Out-of-Distribution Detection for Pretrained Transformers” (W. Zhou, F. Liu, M.Chen), Proc. EMNLP, 2021.
“Learning from Noisy Labels for Entity-Centric Information Extraction” (W. Zhou, M. Chen), Proc. EMNLP, 2021.
“Learning Constraints and Descriptive Segmentation for Subevent Detection” (H. Wang, H. Zhang, M. Chen, D. Roth), Proc. EMNLP, 2021.
“Table-based Fact Verification With Salience-aware Learning” (F. Wang, K. Sun, J. Pujara, P. Szekely, M. Chen), Proc. EMNLP, 2021.
"Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification" (A. Spangher, J. May, S. Shiang, L. Deng), Proc. EMNLP, 2021.
"Salience-Aware Event Chain Modeling for Narrative Understanding" (X. Zhang, M. Chen, J. May), Proc. EMNLP, 2021.
"Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" (M. Gheini, X. Ren, J. May), Proc. EMNLP, 2021.
“Document-level Entity-based Extraction as Template Generation” (K-H. Huang, S. Tang, N. Peng), Proc. EMNLP, 2021.
”AESOP: Paraphrase Generation with Adaptive Syntactic Control" (J. Sun, X. Ma, N. Peng), Proc. EMNLP, 2021.
“ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning” (R. Han, I.-H Hsu, J. Sun, J. Baylon, Q. Ning, D. Roth, N. Peng), Proc. EMNLP, 2021.
“ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning”(R. Han, X. Ren, N. Peng), Proc. EMNLP, 2021.
“Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding” (Z-Y Dou, N. Peng), Proc. EMNLP, 2021.
“Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training” (K-H Huang, W.U. Ahmad, N Peng, K-W Chang), Proc. EMNLP, 2021.
“Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning” (D. Yin, L.H. Li, Z Hu, N. Peng, K-W Chang), Proc. EMNLP, 2021.
“HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge” (Y. Tian, A. K. Sridhar N. Peng), Proc. EMNLP, 2021.
“HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning” (M.D. Ma, M. Chen, T-L Wu, N. Peng), Proc. EMNLP, 2021.
"Summary-Oriented Question Generation for Informational Queries" (X. Yin, L. Zhou, K. Small, J. May), Proc. DialDoc, 2021.
"Many-to-English Machine Translation Tools, Data, and Pretrained Models" (T. Gowda, Z. Zhang, C. Mattmann, J. May), Proc. ACL, 2021.
"WARP: Word-level Adversarial ReProgramming" (K. Hambardzumyan, H. Khachatrian, J. May), Proc. ACL, 2021.
"Can Sequence-to-Sequence Models Crack Substitution Ciphers?" (N. Aldarrab, J. May), Proc. ACL, 2021.
"COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences" (S. Singh, N. Wen, Y. Hou, P. Alipoormolabashi, TL. Wu, X. Ma, N. Peng), Proc. ACL, 2021.
"Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia" (J. Sun, N. Peng), Proc. ACL, 2021.
"Societal Biases in Language Generation: Progress and Challenges" (E. Sheng, KW, Chang, P. Natarajan, N.Peng), Proc. ACL, 2021.
"Metaphor Generation with Conceptual Mappings" (K. Stowe, T. Chakrabarty, N. Peng, S. Muresan, I. Gurevych), Proc. ACL, 2021.
"Examining and Combating Spurious Features under Distribution Shift" (C. Zhou, X. Ma, P. Michel, G. Neubig), Proc. ICML, 2021.
"Macro-Average: Rare Types Are Important Too"(T. Gowda, W. You, C. Lignos, J. May), Proc. NAACL, 2021.
"X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering"(M. M'hamdi, D. S. Kim, F. Dernoncourt, T. Bui, X. Ren, J. May), Proc. NAACL, 2021.
"CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems"(K. Chawla, J. Ramirez, R. Clever, G. Lucas, J. May, J. Gratch), Proc. NAACL, 2021.
"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.
2020
"Proceedings of the 14th International Workshop on Semantic Evaluation"(A. Herbelot, X. Zhu, A. Palmer, N. Schneider, J. May, E. Shutova), Proc. ACL Workshop, 2020.
"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.
2019
"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.
2018
"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.
2017
"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.
2016
"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.
2015
"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.