Publications

2022:

2021:

  • Wenpeng Yin, Shelby Heinecke, Jia Li, etc. Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. PDF, Data-Centric AI Workshop at NeurIPS.

  • Wenpeng Yin, Dragomir Radev, Caiming Xiong. Doc-NLI: A Large-scale Dataset for Document-level Natural Language Inference. The 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings)

  • Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong. BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. The 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings)

  • Congying Xia*, Wenpeng Yin*, Yihao Feng, Philip S. Yu. Incremental Few-shot Text Classi cation with Multi-round New Classes: Formulation, Dataset and System. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). “∗”: equal contribution

  • Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong. Learning to Synthesize Data for Semantic Parsing. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

  • Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher. CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. Nature Digital Medicine. Featured by Forbes and TechRepublic

2020:

  • Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start (EMNLP, PDF)

  • Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip Yu and Lifang He. Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. The 28th International Conference on Computational Linguistics (COLING)

  • Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma. Empirical evaluation of multi-task learning in deep neural networks for natural language processing. Neural Computing and Applications

  • Wenpeng Yin. Meta-learning for Few-shot Natural Language Processing: A Survey. arXiv

  • Nazneen Fatema Rajani, Ben Krause, Wenpeng Yin, Tong Niu, Richard Socher, Caiming Xiong. Explaining and Improving Model Behavior with k Nearest Neighbor Representations. arXiv

  • Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip Yu, Caiming Xiong. Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. arXiv

2019:

2018:

  • Wenpeng Yin, Dan Roth. TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. (EMNLP'2018, PDF, code)

  • Wenpeng Yin, Hinrich Schütze. Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. Transactions of the ACL.

  • Wenpeng Yin, Hinrich Schütze, Dan Roth. End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. (ACL'2018, PDF, code)

  • Wenpeng Yin, Dan Roth. Term Definitions Help Hypernymy Detection. 7th Joint Conference on Lexical and Computational Semantics (*SEM'2018, PDF)

  • Wenpeng Yin, Yadollah Yaghoobzadeh and Hinrich Schütze. Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. (COLING'2018, PDF, Awarded ``Area Chair Favorites")

2017:

  • Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang and Bowen Zhou. Improved Neural Relation Detection for Knowledge Base Question Answering. (ACL'2017 PDF)

  • Wenpeng Yin, Hinrich Schütze. Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. (EACL'2017 PDF)

  • Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze. Comparative Study of CNN and RNN for Natural Language Processing. arXiv.

2016:

  • Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Transactions of the Association for Computational Linguistics (TACL).

  • Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze. Simple Question Answering by Attentive Convolutional Neural Network. COLING'2016, PDF

  • Wenpeng Yin, Hinrich Schütze. Learning Word Meta-Embeddings. ACL'2016, PDF

  • Wenpeng Yin, Sebastian Ebert, Hinrich Schütze. Attention-Based Convolutional Neural Network for Machine Comprehension. NAACL'2016 HCQA Workshop, PDF, extended version at Arxiv

2015:

  • Wenpeng Yin, Tobias Schnabel, Hinrich Schütze. Online Updating of Word Representations for Part-of-Speech Taggging. EMNLP'2015, short paper, 24%. PDF, Software

  • Wenpeng Yin, Hinrich Schütze. Multichannel Variable-Size Convolution for Sentence Classification. CoNLL'2015. PDF.

  • Wenpeng Yin, Hinrich Schütze. MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. ACL'2015. PDF.

  • Min Yang, Wenting Tu, Wenpeng Yin, Ziyu Lu. Deep Markov Neural Network for Sequential Data Classification. ACL'2015. PDF

  • Wenpeng Yin, Yulong Pei. Optimizing Sentence Modelling and Selection for Document Summarization. IJCAI'2015. PDF.

  • Wenpeng Yin, Hinrich Schütze. Convolutional Neural Network for Paraphrase Identification. NAACL-HLT'2015. PDF.

  • Wenpeng Yin, Hinrich Schütze. Discriminative Phrase Embedding for Paraphrase Identification. NAACL-HLT'2015. PDF.

  • Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow. LCCT: A Semi-supervised Model for Sentiment Classification. NAACL-HLT'2015. PDF.

  • Zhiang Wu, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, Jin Shi. Detecting overlapping communities in poly-relational networks. World Wide Web.

2014:

  • Wenpeng Yin, Hinrich Schütze. An Exploration of Embeddings for Generalized Phrases. ACL'2014 Student Research workshop. PDF Phrase Embeddings Download

  • Wenpeng Yin, Hinrich Schütze. Deep Learning Embeddings for Discontinuous Linguistic Units. International Conference on Learning Representations (ICLR'2014 workshop). PDF

Before Ph.D. study:

  • Zhi'ang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea. Community Detection in Multi-relational Social Networks. The 14th International Conference on Web Information System Engineering (WISE'2013). (Full Paper, 24.7%) PDF One of the Best Papers

  • Wenpeng Yin, Yulong Pei, Fan Zhang, Lian’en Huang. SentTopic-MultiRank: A Novel Ranking Model for Multi-document Summarization. COLING'2012. PDF

  • Wenpeng Yin, Lifu Huang, Yulong Pei, Lian’en Huang. RelationListwise for query-focused multi-document summarization. COLING'2012. PDF

  • Yulong Pei, Wenpeng Yin, Qifeng Fan, Lian’en Huang. A supervised aggregation framework for multi-document summarization. COLING'2012. PDF

  • Wenpeng Yin, Yulong Pei, Fan Zhang, Lian’en Huang. Query-Focused Multi-document Summarization Based on Query-Sensitive Feature Space. CIKM'2012. PDF

  • Yulong Pei, Wenpeng Yin, Lian’en Huang. Generic Multi-Document Summarization Using Topic-Oriented Information. The 12th Pacific Rim International Conference on Artificial Intelligence, (PRICAI'2012). 435-446. (Full Paper, 25%) PDF

  • Wenpeng Yin, Yulong Pei, Lian’en Huang. Automatic Multi-document Summarization Based on New Sentence Similarity Measures. The 12th Pacific Rim International Conference on Artificial Intelligence, (PRICAI'2012). 832-837. (Short Paper 25%) PDF