Transcription of Exploring Pre-trained Language Models for Event Extraction ...
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Exploring Pre-trained Language Models for Event Extraction ...
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5284 5294 Florence, Italy, July 28 - August 2, 2019 Association for Computational Linguistics5284 Exploring Pre-trained Language Models for Event Extraction andGenerationSen Yang , Dawei Feng , Linbo Qiao, Zhigang Kan, Dongsheng Li National University of Defense Technology, Changsha, approaches to the task of ACEevent Extraction usually depend on manuallyannotated data, which is often laborious to cre-ate and limited in size. Therefore, in addi-tion to the difficulty of Event Extraction itself,insufficient training data hinders the learningprocess as well. To promote Event Extraction ,we first propose an Event Extraction model toovercome the roles overlap problem by sep-arating the argument prediction in terms ofroles.
3 Extraction Model This section describes our approach to extract events that occur in plain text. We consider event extraction as a two-stage task, which includes trig-ger extraction and argument extraction, and pro-pose a Pre-trained Language Model based Event Extractor (PLMEE). Figure3illustrates the archi-tecture of PLMEE.
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