Publication
Elaboration-Generating Commonsense Question Answering at Scale.
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith. arXiv preprint arXiv:2209.01232, 2022.
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement.
Hui Liu, Wenya Wang, Haoliang Li. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-22). (Long paper)
Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction.
Fengmao Lv, Tao Liang, Zhihui Fei, Wenya Wang. In IEEE Transactions on Neural Networks and Learning Systems. (TNNLS 2022)
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-22). Seattle, Washington, USA. July 10-15, 2022. (Long paper)
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22). Dublin, Ireland. May 22-27, 2022. (Long paper)
Variational Deep Logic Network for Joint Inference of Entities and Relations.
Wenya Wang and Sinno Jialin Pan. In Computational Linguistics. Volume 47 (4), pages 775–812. (CL 2021)
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer.
Tao Liang, Wenya Wang, Fengmao Lv. In IEEE Transactions on Neural Networks and Learning Systems. Pages 1-12. (TNNLS 2021)
Deep Weighted MaxSAT for Aspect-based Opinion Extraction.
Meixi Wu, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-20). (Long paper)
Integrating Deep Learning with Logic Fusion for Information Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20). New York, USA. Feb. 7-12, 2020. (Full paper)
Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction.
Wenya Wang and Sinno Jialin Pan. In Computational Linguistics (CL). 2019.
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization .
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In 33rd Conference on Neural Information Processing Systems 2019 (NeurIPS-19). Vancouver, Canada. Dec. 8-14, 2019. (Full paper)
Cooperative Pruning in Cross-Domain Deep Neural Network Compression.
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug. 10-16, 2019. (Full paper) [paper]
Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data.
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. (Full paper) [paper][code]
Transferable Interactive Memory Network for Domain Adaptation in Fine-grained Opinion Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. (Full paper) [paper]
Memory Networks for Fine-grained Opinion Mining.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier. In Artificial Intelligence (AIJ). Volume 265, Pages 1-17, 2018. [paper]
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18). Melbourne, Australia. July 15-20, 2018. (Long paper) [paper][code/data]
Transition-based Adversarial Network for Cross-lingual Aspect Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18). Stockholm, Sweden. July 13-19, 2018. (Full paper) [paper]
Coupled Multi-layer Attentions for Co-extraction of Aspect and Opinion Terms.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. February 4-9, 2017. (Full paper) [paper][code/data]
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-16). Austin, Texas, USA. November 1-5, 2016. (Long paper) [paper][code/data]
