Abstract: Event detection mainly studies trigger word detection and event type recognition. At pre- sent, most models based on deep learning focus on semantic role information, syntactic dependency tree information and pre-training models, but ignore the importance of parts of speech. To solve this problem, this paper proposes a Chinese event detection method based on nugget proposal network with part-of-speech attention mechanism. The method firstly obtains part-of-speech sequence based on NLP part-of-speech tagging tool, then uses the CBOW algorithm to obtain part-of-speech embedding, and finally uses part-of-speech embedding in the model to calculate part-of-speech attention for event detection. Experiments on the ACE2005 show that the F1 score of the model with part-of-speech attention is improved by 3.8% and 2.4% respectively on the event detection task, which proves the effectiveness of the method.

Key words: nugget proposal network, part-of-speech embedding, part-of-speech attention, event detection, event extraction