Jiwei Li 李纪为

• Understanding Neural Networks through Representation Erasure
  Jiwei Li, Will Monroe and Dan Jurafsky. 2017. [arxiv]
• Learning to Decode for Future Success.
  Jiwei Li, Will Monroe and Dan Jurafsky. 2017. [arxiv][code for dialogue parts]
• Data Distillation for Controlling Specificity in Dialogue Generation
  Jiwei Li, Will Monroe and Dan Jurafsky. 2017 [arxiv]
• A Simple, Fast Diverse Decoding Algorithm for Neural Generation.
  Jiwei Li, Will Monroe and Dan Jurafsky. 2017. [arxiv]
• Neural Net Models for Open-Domain Discourse Coherence.
  Jiwei Li and Dan Jurafsky. EMNLP 2017 [arxiv]
• Adversarial Learning for Neural Dialogue Generation. [pdf][code]
  Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter and Dan Jurafsky. EMNLP 2017.
• Data Noising as Smoothing in Neural Network Language Models.
  Ziang Xie, Sida Wang, Jiwei Li, Daniel Levy, Aiming Nie, Dan Jurafsky and Andrew Ng
  ICLR 2017 [arxiv]
• Learning through Dialogue Interactions by Asking Questions. [data|code|pdf]
  Jiwei Li, Alexander Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston . ICLR 2017
• Dialogue Learning With Human-in-the-Loop. [data|code|pdf]
  Jiwei Li, Alexander Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston. ICLR 2017
• Deep Reinforcement Learning for Dialogue Generation.
  Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao and Dan Jurafsky. EMNLP 2016.
• A Persona-Based Neural Conversation Model. [code]
  Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan. ACL 2016.
• A Diversity-Promoting Objective Function for Neural Conversation Models. [code]
  Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan. NAACL 2016
• Visualizing and Understanding Neural Models in NLP. [code]
  Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky. NAACL 2016
• Do Multi-Sense Embeddings Improve Natural Language Understanding?
  Jiwei Li and Dan Jurafsky. EMNLP, 2015. [arxiv] [code]
• When Are Tree Structures Necessary for Deep Learning of Representations?
  Jiwei Li, Minh-Thang Luong, Dan Jurafsky and Eduard Hovy. EMNLP, 2015 [arxiv] [code].
• A Hierarchical Neural Autoencoder for Paragraphs and Documents.
  Jiwei Li, Minh-Thang Luong and Dan Jurafsky. ACL, 2015 [arxiv] [code]
• A Model of Coherence Based on Distributed Sentence Representation.
  Jiwei Li and Eduard Hovy. EMNLP, 2014. [pdf | bib |code] .
• Recursive Deep Models for Discourse Parsing.
  Jiwei Li, Rumeng Li and Eduard Hovy. EMNLP, 2014. [pdf | bib| code] .
• Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.
  Jiwei Li, Alan Ritter, Claire Cardie and Eduard Hovy. EMNLP, 2014. [pdf | bib | slides| dataset].
• Sentiment Analysis on the People's Daily. [ pdf | bib | slides ]
  Jiwei Li and Eduard Hovy. EMNLP, 2014.
• Weakly Supervised User Profile Extraction from Twitter.
  Jiwei Li, Alan Ritter, Eduard Hovy. ACL, 2014. [pdf | bib | slides | dataset]
• Towards a General Rule for Identifying Deceptive Opinion Spam.
  Jiwei Li, Myle Ott, Claire Cardie and Eduard Hovy. ACL 2014. [pdf | dataset | bib]
• What a Nasty day: Exploring Mood-Weather Relationship from Twitter.
  Jiwei Li, Xun Wang and Eduard Hovy. CIKM, 2014 . [pdf | bib | slides ]
• Timeline Generation: Tracking individuals on Twitter.
  Jiwei Li and Claire Cardie. WWW, 2014. 
•  Identifying Manipulated Offerings on Review Portals.
  Jiwei Li, Myle Ott and Claire Cardie. EMNLP, 2013. [dataset]
• TopicSpam: a Topic-Model-Based Approach for Spam Detection
  Jiwei Li, Claire Cardie and Sujian Li. ACL, 2013. (short paper)
•  Evolutionary Hierarchical Dirichlet Process for Timeline Summarization.
  Jiwei Li and Sujian Li. 2013. ACL, 2013. (short paper)

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