Publications

• (chronological order)

  2020

• R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
  Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan and Nanyun Peng. ACL 2020.
  [code]
• Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems
  Sarik Ghazarian, Ralph Weischedel, Aram Galstyan and Nanyun Peng. AAAI 2020.
  [code]

• 2019

• Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
  Yiming Wang, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe, Sanjeev Khudanpur. ASRU 2019
• Deep Structured Neural Network for Event Temporal Relation Extraction
  Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel and Nanyun Peng. CoNLL 2019
• Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages
  Wasi Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang and Nanyun Peng. CoNLL 2019
• Learning A Unified Named Entity Tagger from Multiple Partially Annotated Corpora For Efficient Adaptation
  Xiao Huang, Li Dong, Elizabeth Boschee and Nanyun Peng. CoNLL 2019
  [code]
• Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
  Rujun Han, Qiang Ning and Nanyun Peng. EMNLP 2019
• Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing
  Tao Meng, Nanyun Peng and Kai-Wei Chang. EMNLP 2019
• The Woman Worked as a Babysitter: On Biases in Language Generation
  Emily Sheng, Kai-Wei Chang, Premkumar Natarajan and Nanyun Peng. EMNLP 2019
  [data]
• Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
  James Mullenbach, Jonathan Gordon, Nanyun Peng and Jonathan May. EMNLP 2019
• What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
  Xiaolei Huang, Jonathan May and Nanyun Peng. EMNLP 2019
• Debiasing Community Detection: The Importance of Lowly-Connected Nodes
  Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan. The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)2019.
• Towards Creative Text Generation
  Nanyun Peng. invited talk at NAACL Workshop on Narrative Understanding 2019
  [slides]
• Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
  Rujun Han, Mengyue Liang, Bashar Alhafni, Nanyun Peng. NAACL Workshop on Narrative Understanding 2019.
• Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings
  Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng. NAACL NeuralGen Workshop 2019.
  [data]
• Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
  Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng. NAACL 2019, system demo.
  [demo]
• Pun Generation with Surprise
  He He*, Nanyun Peng*, Percy Liang. NAACL 2019
  [slides] [code] [data]
• 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
  [code] [poster]
• Building Deep Learning Models for Evidence Classification from the Open Access Biomedical Literature
  Gully Burns, Xiangci Li, Nanyun Peng. DATABASE journal 2019
  [slides]
• Plan-And-Write: Towards Better Automatic Storytelling
  Lili Yao*, Nanyun Peng*, Ralph Weischedel, Kevin Knight, Dongyan Zhao and Rui Yan. AAAI 2019
  [code] [demo] [slides]

• 2018

• Stack-Pointer Networks for Dependency Parsing
  Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard Hovy. ACL 2018
  [code]
• Scalable Construction and Reasoning of Massive Knowledge Bases
  Xiang Ren, Nanyun Peng, William Yang Wang. NAACL tutorial 2018
  [slides]
• Towards Controllable Story Generation
  Nanyun Peng, Marjan Ghazvininejad, Jonathan May and Kevin Knight. NAACL Storytelling workshop 2018 (oral presentation).
• Learning to Converse with Noisy Data: Generation with Calibration
  Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao and Rui Yan. IJCAI 2018
• Style Transfer in Text: Exploration and Evaluation
  Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao and Rui Yan. AAAI 2018
  [data & eval] [code]

• 2017 and older

• A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition
  Dingquan Wang, Nanyun Peng and Kevin Duh. IJCNLP 2017
• Jointly Learning Representations for Low-Resource Information Extraction
  Nanyun Peng, PhD thesis. Johns Hopkins University 2017
• Multi-task Domain Adaptation for Sequence Tagging
  Nanyun Peng and Mark Dredze. ACL repl4NLP workshop 2017
• Cross-Sentence N-ary Relation Extraction with Graph LSTMs
  Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih. TACL journal, 2017 (oral presentation at ACL).
  [data] [code]
• Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
  Nanyun Peng and Mark Dredze. ACL 2016. (acceptance rate: 25.4%)
  [poster] [code] [supplementary]
• HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL
  Tim Finin, Dawn Lawrie, Paul McNamee, James Mayfield, Doug Oard, Nanyun Peng, Ning Gao, Yiu-Chang Lin, Joshi MacKin and Tim Dowd. NIST 2015.
• Dual Decomposition Inference for Graphical Models over Strings
  Nanyun Peng, Ryan Cotterell and Jason Eisner. EMNLP 2015. (acceptance rate: 24%)
  [slides]
• Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
  Nanyun Peng and Mark Dredze. EMNLP 2015. (acceptance rate: 24%)
  [poster] [code]
• Modeling Word Forms Using Latent Underlying Morphs and Phonology
  Ryan Cotterell, Nanyun Peng and Jason Eisner. TACL journal, 2015 (oral presentation at ACL).
  [data]
• An Empirical Study of Chinese Name Matching and Applications
  Nanyun Peng, Mo Yu and Mark Dredze. ACL 2015. (acceptance rate: 22.3%)
  [data] [code]
• A Concrete Chinese NLP Pipeline
  Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas,
  Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze.
  NAACL system demo, 2015.
• Learning Polylingual Topic Models from Code-Switched Social Media Documents
  Nanyun Peng, Yiming Wang and Mark Dredze. ACL 2014. (acceptance rate: 26.1%)
  [code]
• Stochastic Contextual Edit Distance and Probabilistic FSTs
  Ryan Cotterell, Nanyun Peng, and Jason Eisner. ACL 2014.
  (acceptance rate: 26.1%)
• On Convergence Rate of Concave-Convex Procedure
  Ian E.H. Yen, Nanyun Peng, Po-Wei Wang and Shou-De Lin. NIPS OPT Workshop, 2012.
• Online plagiarism detection through exploiting lexical, syntactic, and semantic information
  Wan-Yu Lin, Nanyun Peng, Chun-Chao Yen and Shou-de Lin. ACL System Demo, 2012.
• Exploiting latent information to predict diffusions of novel topics on social networks
  Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin. ACL , 2012. (acceptance rate: 21%)
• Event Detection in News Flow Based on Hierarchical Clustering (in Chinese).
  Nanyun Peng, Houfeng Wang and Chentian Ling. Chinese National Conference on Computational Linguistics, 2011. (Email me if you want a copy)