Exploring Pre-trained Language Models for Event Extraction ...

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Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5284 5294Florence, Italy, July 28 - August 2, 2019 Association for Computational Linguistics5284Exploring 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.

Exploring Pre-trained Language Models for Event Extraction and Generation Sen Yang y, Dawei Feng , Linbo Qiao, Zhigang Kan, ... 1 Introduction Event extraction is a key and challenging task for many NLP applications. It targets to detect event ... and just add a multi-classifier on BERT to build the trigger extractor. The input of the trigger ...

  Introduction, Multi, Model