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• W2890776849 abstract "Event detection (ED) and word sense disambiguation (WSD) are two similar tasks in that they both involve identifying the classes (i.e. event types or word senses) of some word in a given sentence. It is thus possible to extract the knowledge hidden in the data for WSD, and utilize it to improve the performance on ED. In this work, we propose a method to transfer the knowledge learned on WSD to ED by matching the neural representations learned for the two tasks. Our experiments on two widely used datasets for ED demonstrate the effectiveness of the proposed method." @default.
• W2890776849 created "2018-09-27" @default.
• W2890776849 creator A5056785027 @default.
• W2890776849 creator A5061796051 @default.
• W2890776849 date "2018-01-01" @default.
• W2890776849 modified "2023-10-16" @default.
• W2890776849 title "Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching" @default.
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• W2890776849 doi "https://doi.org/10.18653/v1/d18-1517" @default.
• W2890776849 hasPublicationYear "2018" @default.
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