Paper: Kernel Based Discourse Relation Recognition with Temporal Ordering Information

ACL ID P10-1073
Title Kernel Based Discourse Relation Recognition with Temporal Ordering Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Syntactic knowledge is important for dis- course relation recognition. Yet only heu- ristically selected flat paths and 2-level production rules have been used to incor- porate such information so far. In this paper we propose using tree kernel based approach to automatically mine the syn- tactic information from the parse trees for discourse analysis, applying kernel func- tion to the tree structures directly. These structural syntactic features, together with other normal flat features are incor- porated into our composite kernel to cap- ture diverse knowledge for simultaneous discourse identification and classification for both explicit and implicit relations. The experiment shows tree kernel ap- proach is able to give statistical signifi- cant improvements over flat syntactic...