@inproceedings{c7c67c2f2db1481bbe6e813907cd70fa,
title = "Temporal expression recognition using dependency trees",
abstract = "In this paper we present a previously unexplored approach to recognizing the textual extent of temporal expressions. Based on the observation that temporal expressions are syntactic constituents, we use functional dependency relations between tokens in a sentence to determine which words in addition to a trigger word belong to the extent of the expression. This method is particularly attractive for the recognition of expressions with complex syntactic structure, for which state-of-the-art pattern-based taggers are not effective.",
author = "Pawe{\l} Mazur and Robert Dale",
year = "2014",
doi = "10.1007/978-3-319-08958-4_18",
language = "English",
isbn = "9783319089577",
volume = "8387 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "213--225",
editor = "Zygmunt Vetulani and Joseph Mariani",
booktitle = "Human Language Technology Challenges for Computer Science and Linguistics - 5th Language and Technology Conference, LTC 2011, Revised Selected Papers",
address = "United States",
note = "5th Language and Technology Conference, LTC 2011 ; Conference date: 25-11-2011 Through 27-11-2011",
}