A Multi-task Event and Argument Trigger Detection in Hindi using POS Tagging as an Auxiliary Task
The event, as well as argument trigger detection, are essential sub-tasks of the event extraction system. Lots of effort has been devoted to improving the performance of trigger detection systems. But, the effect of low-level tasks like Parts-of-Speech (POS) tagging as an auxiliary task in multi-task learning of event and argument trigger detection has not been understood well in literature. In our current work, we propose a BERT-based multi-task architecture that learns a shared representation from two sequence labeling tasks, trigger detection (both event and argument), and POS tagging in a multi-task setup using POS tagging as an auxiliary task. We show that our proposed approach achieves a significant performance boost as compared to single-task models. We perform our experiment in the Hindi language, unlike previously proposed works.
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Event ExtractionMulti-Task LearningPOSPOS TaggingSimilar Papers 제목 키워드 기반
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