Abstract
Previous studies on causality estimation mainly aquire causal event pairs from a large corpus based on lexico-syntactic patterns and coreference relations, and estimate causality by a statistical method. However, most of the previous studies assume event pairs can be represented by a pair of single words, therefore they cannot estimate multiword causality correctly (e.g.“tired”-“give up”) . In this paper, we create a list of multiword expressions and extend an existing method. Our evaluation demonstrates that the proper treatment of multiword expression events is effective and the proposed method outperforms the state-of-the-art causality estimation model.
Original language | English |
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Publication status | Published - 2017 |
Event | 12th International Conference on Computational Semantics, IWCS 2017 - Montpellier, France Duration: 2017 Sept 19 → 2017 Sept 22 |
Conference
Conference | 12th International Conference on Computational Semantics, IWCS 2017 |
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Country/Territory | France |
City | Montpellier |
Period | 17/9/19 → 17/9/22 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems