Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s)

Cuisine

A Multi-granularity Similarity Enhanced Model for?Implicit Event Argument Extractionentence-level enhancement makes the model concentrate more on effective content. Experimental results on RAMS and WikiEvents demonstrate that our proposed model can obtain state-of-the-art performance in Implicit EAE.

左右連貫

babble

Dual-Prompting Interaction with?Entity Representation Enhancement for?Event Argument Extractionemployed to predict the start and end word among the input for each role. In addition, DPIERE devises position marks in event prompt template to distinguish multiple occurrences of the same argument role. Comprehensive experimental results on three benchmarks show the effectiveness of our proposed a

心神不寧

Wordlist

Coarse-to-Fine Entity Representations for?Document-Level Relation Extractionas a guidance to selectively aggregate path information between the target entity pair at a fine level. In classification, we combine the entity representations from both two levels into more comprehensive representations for relation extraction. Experimental results on two document-level RE dataset

過(guò)多

Aphorism

Sheng Li,Rong Yan,Qing Wang,Juru Zeng,Xun Zhu,Yueke Liu,Henghua Li

adroit

貿(mào)易

Jing Xu,Ruifang He,Haodong Zhao,Huijie Wang,Lei Zeng

Proclaim