Publications

Google Scholar Profile

• Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
  Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen. to appear in Eleventh International Conference on Learning Representations (ICLR), 2023. (Spotlight, notable-top25%)
• How do Words Contribute to Sentence Semantics? A Perturbation Approach with the Discourse Relation Recognizer
  Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu and Jianshu Chen. to appear in The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. (Short Paper)
• Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
  Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu and Jianshu Chen. in Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (Long Paper)
• Efficient Zero-shot Event Extraction with Context-Definition Alignment
  Hongming Zhang, Wenlin Yao and Dong Yu. in Findings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (Long Paper)
• NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
  Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu and Snigdha Chaturvedi. in Findings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (Long Paper)
• Salience Allocation as Guidance for Abstractive Summarization
  Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen and Dong Yu. in Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (Long Paper)
• ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
  Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, and Jianshu Chen. ICDM @ Knowlege Graph Workshop, 2022.
• Learning-by-Narrating: Narrative Pre-training for Zero-Shot Dialogue Comprehension
  Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (Short Paper)
• C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
  Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (Short Paper)
• Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
  Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu and Dong Yu. in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (Long Paper, Acceptance Rate: 23.3%) [model/code]
• Weakly Supervised Subevent Knowledge Acquisition
  Wenlin Yao, Zeyu Dai, Maitreyi Ramaswamy, Bonan Min, Ruihong Huang. in Proceedings of The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. (Long Paper, Acceptance Rate: 24.2%) [knowledge/code]
• Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
  Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang and Ali Mostafavi. in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. (Oral presentation, Overall Acceptance Rate: 20.6%) [code]
• Semi-automated Analytics for Social Sensing of Societal Impacts due to Community Disruptions during Disasters
  Cheng Zhang, Wenlin Yao, Yang Yang, Ruihong Huang, Ali Mostafavi. Accepted to Computer-Aided Civil and Infrastructure Engineering (Impact Factor 6.2), 2020.
• Social media for intelligent public information and warning in disasters: An interdisciplinary review
  Cheng Zhang, Chao Fan, Wenlin Yao, Xia Hu, Ali Mostafavia. published in International Journal of Information Management (IJIM), Elsevier, 2019.
• Exploring the Emergence of Influential Users on Social Media During Natural Disasters
  Yang Yang, Cheng Zhang, Chao Fan, Wenlin Yao, Ruihong Huang, Ali Mostafavi. Published in International Journal of Disaster Risk Reduction, ELSEVIER, 2019.
• Temporal Event Knowledge Acquisition via Identifying Narratives
  Wenlin Yao, Ruihong Huang. in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. (Long Paper, Acceptance Rate: 24.9%) [code/data]
• A Graph-based Approach for Detecting Critical Infrastructure Disruptions on Social Media in Disasters
  Chao Fan, Ali Mostafavi, Wenlin Yao, Ruihong Huang. In Proceedings of IEEE 52nd Hawaii International Conference on System Sciences (HICSS-52), 2018.
• A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously
  Wenlin Yao, Saipravallika Nettyam and Ruihong Huang. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2017. (Regular Paper, Acceptance Rate: 14%) [regular_event_pairs]
• Using Context Events in Neural Network Models for Event Temporal Status Identification
  Zeyu Dai, Wenlin Yao, Ruihong Huang. In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), 2017.
• Online Deception Detection Refueled by Real World Data Collection
  Wenlin Yao, Zeyu Dai, Ruihong Huang and James Caverlee. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2017. (Regular Paper, Acceptance rate: 14%) [dataset]
• Cooperation enhanced by indirect reciprocity and spatial reciprocity in social P2P reputation systems
  Nan Si, Linlin Tian, Wenlin Yao. In Proceedings of the International Conference on Computational Intelligence and Communication Networks (CICN), 2015. (When in undergraduate)