会议专题

Cross-Scenario Inference Based Event-Event Relation Detection

  Event-Event Relation Detection(RD2e)aims to detect the relations between a pair of news events,such as Causal relation between Criminal and Penal events.In general,RD2e is a challenging task due to the lack of explicit linguistic feature signaling the relations.We propose a cross-scenario inference method for RD2e.By utilizing conceptualized scenario expression and graph-based semantic distance perception,we retrieve semantically similar historical events from Gigaword.Based on explicit relations of historical events,we infer implicit relations of target events by means of transfer learning.Experiments on 10 relation types show that our method outperforms the supervised models.

Relation detection Cross scenario Semantic distance

Yu Hong Jingli Zhang Rui Song Jianmin Yao

Computer Information Processing Technology of Soochow University,Suzhou 215006,Jiangsu,China

国际会议

2018自然语言处理与中文计算国际会议(NLPCC2018)

呼和浩特

英文

257-267

2018-08-26(万方平台首次上网日期,不代表论文的发表时间)