会议论文

Ouyang, C.

英文

Communications in Computer and Information Science

1865-0929

2022

1669 CCIS

68-80

7th China Conference on Knowledge Graph and Semantic Computing, CCKS 2022

24 August 2022 through 27 August 2022

Sun M.Xu B.Qi G.Liu K.Chen Y.Ren J.Feng Y.Liu Y.

Springer Science and Business Media Deutschland GmbH

9789811975950

10.1007/978-981-19-7596-7_6

Received for publication September 29, 1965. ~Scientific contribution no. 152, Agricultural Experiment Station, University of Connecticut, Storrs. Supported in part by Public Health Service research grant AM-02605-07 from the Institute of Arthritis and Metabolic Diseases. ~Present address: Department of Food Science and Technology, Oregon State University, Cor-vallis, Oregon.

本校为第一机构

Event Detection (ED) is a very important sub-task in the field of information extraction, which studies how to correctly identify the trigger words that trigger event generation from unstructured text containing event information. We can regard ED as a token-based multi-classification task and sequence labeling task. However, in the previous methods, the ED task is performed for fine-grained types of events, ignoring the more abstract information of coarse-grained event types, which leads to missing conceptual semantic information about the cla...