Yixian Liu


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Generalized Supervised Attention for Text Generation
Yixian Liu | Liwen Zhang | Xinyu Zhang | Yong Jiang | Yue Zhang | Kewei Tu
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021


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Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
Bo Pang | Erik Nijkamp | Wenjuan Han | Linqi Zhou | Yixian Liu | Kewei Tu
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Open-domain dialogue generation has gained increasing attention in Natural Language Processing. Its evaluation requires a holistic means. Human ratings are deemed as the gold standard. As human evaluation is inefficient and costly, an automated substitute is highly desirable. In this paper, we propose holistic evaluation metrics that capture different aspects of open-domain dialogues. Our metrics consist of (1) GPT-2 based context coherence between sentences in a dialogue, (2) GPT-2 based fluency in phrasing, (3) n-gram based diversity in responses to augmented queries, and (4) textual-entailment-inference based logical self-consistency. The empirical validity of our metrics is demonstrated by strong correlations with human judgments. We open source the code and relevant materials.


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ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
Xinyu Wang | Yixian Liu | Zixia Jia | Chengyue Jiang | Kewei Tu
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

This paper presents the system used in our submission to the CoNLL 2019 shared task: Cross-Framework Meaning Representation Parsing. Our system is a graph-based parser which combines an extended pointer-generator network that generates nodes and a second-order mean field variational inference module that predicts edges. Our system achieved 1st and 2nd place for the DM and PSD frameworks respectively on the in-framework ranks and achieved 3rd place for the DM framework on the cross-framework ranks.