Titlebook: Chinese Computational Linguistics; 22nd China National Maosong Sun,Bing Qin,Yubo Chen Conference proceedings 2023 The Editor(s) (if applic

SSRIS

S. T. Arnold,J. H. Hendricks,K. H. Bowent event types, which could further boost the performance of event extraction. Experimental results on two widely used event extraction datasets demonstrate that our method could improve the original cascade decoding framework by up to 2.2 percentage points of F1 score and outperform a number of competitive baseline methods.

MOTIF

Improving Cascade Decoding with?Syntax-Aware Aggregator and?Contrastive Learning for?Event Extractiot event types, which could further boost the performance of event extraction. Experimental results on two widely used event extraction datasets demonstrate that our method could improve the original cascade decoding framework by up to 2.2 percentage points of F1 score and outperform a number of competitive baseline methods.

尊嚴(yán)

0302-9743 nguage Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications..?978-981-99-6206-8978-981-99-6207-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

Root494