Yin Li


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Sense-Aware Neural Models for Pun Location in Texts
Yitao Cai | Yin Li | Xiaojun Wan
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

A homographic pun is a form of wordplay in which one signifier (usually a word) suggests two or more meanings by exploiting polysemy for an intended humorous or rhetorical effect. In this paper, we focus on the task of pun location, which aims to identify the pun word in a given short text. We propose a sense-aware neural model to address this challenging task. Our model first obtains several WSD results for the text, and then leverages a bidirectional LSTM network to model each sequence of word senses. The outputs at each time step for different LSTM networks are then concatenated for prediction. Evaluation results on the benchmark SemEval 2017 dataset demonstrate the efficacy of our proposed model.


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The Design and Construction of the PolyU Shallow Treebank
Ruifeng Xu | Qin Lu | Yin Li | Wanyin Li
International Journal of Computational Linguistics & Chinese Language Processing, Volume 10, Number 3, September 2005: Special Issue on Selected Papers from ROCLING XVI


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The Construction of A Chinese Shallow Treebank
Ruifeng Xu | Qin Lu | Yin Li | Wanyin Li
Proceedings of the Third SIGHAN Workshop on Chinese Language Processing


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Decomposition for ISO/IEC 10646 Ideographic Characters
Qin Lu | Shiu Tong Chan | Yin Li | Ngai Ling Li
COLING-02: The 3rd Workshop on Asian Language Resources and International Standardization