UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama · 2013
In this paper, we present a system, UTTime, which we submitted to TempEval-3 for Task C: Annotating temporal relations. The system uses logistic regression classifiers and exploits features extracted from a deep syntactic parser, including paths between event words in phrase structure trees and their path lengths, and paths between event words in predicateargument structures and their subgraphs. UT-Time achieved an F1 score of 34.9 based on the graphed-based evaluation for Task C (ranked 2 nd) and 56.45 for Task C-relationonly (ranked 1 st) in the TempEval-3 evaluation. 1