Paper: UTTime: Temporal Relation Classification using Deep Syntactic Features

ACL ID S13-2015
Title UTTime: Temporal Relation Classification using Deep Syntactic Features
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

In this paper, we present a system, UTTime, which we submitted to TempEval-3 for Task C: Annotating temporal relations. The sys- tem uses logistic regression classifiers and ex- ploits 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 predicate- argument structures and their subgraphs. UT- Time achieved an F1 score of 34.9 based on the graphed-based evaluation for Task C (ranked 2nd) and 56.45 for Task C-relation- only (ranked 1st) in the TempEval-3 evalua- tion.