
Yangfeng Ji
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2020 – today
- 2020
- [c25]Hannah Chen, Yangfeng Ji, David Evans:
Pointwise Paraphrase Appraisal is Potentially Problematic. ACL (student) 2020: 150-155 - [c24]Hanjie Chen, Guangtao Zheng, Yangfeng Ji:
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. ACL 2020: 5578-5593 - [c23]Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji:
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. COLING 2020: 2900-2912 - [c22]Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Çelikyilmaz:
The Amazing World of Neural Language Generation. EMNLP (Tutorial Abstracts) 2020: 37-42 - [c21]John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) 2020: 3829-3839 - [c20]Hanjie Chen, Yangfeng Ji:
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. EMNLP (1) 2020: 4236-4251 - [c19]Hannah Chen, Yangfeng Ji, David Evans:
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. EMNLP (Findings) 2020: 4741-4751 - [i19]Hanjie Chen, Guangtao Zheng, Yangfeng Ji:
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. CoRR abs/2004.02015 (2020) - [i18]John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. CoRR abs/2004.14174 (2020) - [i17]Hannah Chen, Yangfeng Ji, David Evans:
Pointwise Paraphrase Appraisal is Potentially Problematic. CoRR abs/2005.11996 (2020) - [i16]Sanxing Chen
, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i15]Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji:
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. CoRR abs/2009.14809 (2020) - [i14]Hanjie Chen, Yangfeng Ji:
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. CoRR abs/2010.00667 (2020) - [i13]Hannah Chen, Yangfeng Ji, David Evans:
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. CoRR abs/2011.01856 (2020)
2010 – 2019
- 2019
- [c18]Wanyu Du, Yangfeng Ji:
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 6011-6017 - [i12]Wanyu Du, Yangfeng Ji:
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. CoRR abs/1908.10835 (2019) - [i11]Hanjie Chen, Yangfeng Ji:
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation. CoRR abs/1909.04225 (2019) - 2018
- [c17]Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith:
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. IUI 2018: 329-340 - [c16]Elizabeth Clark, Yangfeng Ji, Noah A. Smith:
Neural Text Generation in Stories Using Entity Representations as Context. NAACL-HLT 2018: 2250-2260 - 2017
- [c15]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. ACL (1) 2017: 996-1005 - [c14]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. EMNLP 2017: 1830-1839 - [i10]Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i9]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. CoRR abs/1702.01829 (2017) - [i8]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. CoRR abs/1708.00781 (2017) - 2016
- [c13]Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li:
Multiplicative Representations for Unsupervised Semantic Role Induction. ACL (2) 2016 - [c12]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. HLT-NAACL 2016: 332-342 - [i7]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. CoRR abs/1603.01913 (2016) - [i6]Yi Luan, Yangfeng Ji, Mari Ostendorf:
LSTM based Conversation Models. CoRR abs/1603.09457 (2016) - 2015
- [j2]Yangfeng Ji, Jacob Eisenstein:
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations. Trans. Assoc. Comput. Linguistics 3: 329-344 (2015) - [c11]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) 2015: 445-450 - [c10]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP 2015: 2212-2218 - [c9]Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein:
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. EMNLP 2015: 2219-2224 - [c8]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL 2015: 196-205 - [c7]Yangfeng Ji, Jacob Eisenstein:
Entity-Augmented Distributional Semantics for Discourse Relations. ICLR (Workshop) 2015 - [i5]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR abs/1506.06714 (2015) - [i4]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR abs/1506.06863 (2015) - [i3]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR abs/1509.01599 (2015) - [i2]Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein:
Document Context Language Models. CoRR abs/1511.03962 (2015) - 2014
- [j1]Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji:
Extracting Lexically Divergent Paraphrases from Twitter. Trans. Assoc. Comput. Linguistics 2: 435-448 (2014) - [c6]Yangfeng Ji, Jacob Eisenstein:
Representation Learning for Text-level Discourse Parsing. ACL (1) 2014: 13-24 - [c5]Yangfeng Ji, Hwajung Hong, Rosa I. Arriaga, Agata Rozga, Gregory D. Abowd, Jacob Eisenstein:
Mining Themes and Interests in the Asperger's and Autism Community. CLPsych@ACL 2014: 97-106 - [c4]Yangfeng Ji, Dilek Hakkani-Tür, Asli Çelikyilmaz, Larry P. Heck, Gökhan Tür:
A variational Bayesian model for user intent detection. ICASSP 2014: 4072-4076 - [i1]Yangfeng Ji, Jacob Eisenstein:
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations. CoRR abs/1411.6699 (2014) - 2013
- [c3]Yangfeng Ji, Jacob Eisenstein:
Discriminative Improvements to Distributional Sentence Similarity. EMNLP 2013: 891-896 - 2010
- [c2]Yangfeng Ji, Tong Lin, Hongbin Zha:
CDP Mixture Models for Data Clustering. ICPR 2010: 637-640
2000 – 2009
- 2009
- [c1]Yangfeng Ji, Tong Lin, Hongbin Zha:
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. ICMLA 2009: 41-46
Coauthor Index

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