SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要We present SUNNYNLP, our system for solving SemEval 2018 Task 10: “Capturing Discriminative Attributes”. Our Support-VectorMachine(SVM)-based system combines features extracted from pre-trained embeddings and statistical information from Is-A taxonomy to detect semantic difference of concepts pairs. Our system is demonstrated to be effective in detecting semantic difference and is ranked 1st in the competition in terms of F1 measure. The open source of our code is coined SUNNYNLP.
出版社接受日期02.04.2018
著者Sunny Lai, Kwong Sak Leung, Yee Leung
會議名稱The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018)
會議開始日01.06.2018
會議完結日06.06.2018
會議地點New Orleans, Louisiana
會議國家/地區美國
會議論文集題名Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018)
出版年份2018
月份6
日期5
出版社Association for Computational Linguistics
出版地New Orleans, Louisiana
頁次741 - 746
語言英式英語
關鍵詞SVM, Semantic Difference

上次更新時間 2020-31-10 於 00:23