HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions
J. Strötgen, and M. Gertz. Proceedings of the 5th International Workshop on Semantic Evaluation, page 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
Abstract
In this paper, we describe HeidelTime, a system for the extraction and normalization of temporal expressions. HeidelTime is a rule-based system mainly using regular expression patterns for the extraction of temporal expressions and knowledge resources as well as linguistic clues for their normalization. In the TempEval-2 challenge, HeidelTime achieved the highest F-Score (86%) for the extraction and the best results in assigning the correct value attribute, i.e., in understanding the semantics of the temporal expressions.
%0 Conference Paper
%1 stroetgen2010heideltime
%A Strötgen, Jannik
%A Gertz, Michael
%B Proceedings of the 5th International Workshop on Semantic Evaluation
%C Stroudsburg, PA, USA
%D 2010
%I Association for Computational Linguistics
%K heideltime kallimachos time
%P 321--324
%T HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions
%U http://dl.acm.org/citation.cfm?id=1859664.1859735
%X In this paper, we describe HeidelTime, a system for the extraction and normalization of temporal expressions. HeidelTime is a rule-based system mainly using regular expression patterns for the extraction of temporal expressions and knowledge resources as well as linguistic clues for their normalization. In the TempEval-2 challenge, HeidelTime achieved the highest F-Score (86%) for the extraction and the best results in assigning the correct value attribute, i.e., in understanding the semantics of the temporal expressions.
@inproceedings{stroetgen2010heideltime,
abstract = {In this paper, we describe HeidelTime, a system for the extraction and normalization of temporal expressions. HeidelTime is a rule-based system mainly using regular expression patterns for the extraction of temporal expressions and knowledge resources as well as linguistic clues for their normalization. In the TempEval-2 challenge, HeidelTime achieved the highest F-Score (86%) for the extraction and the best results in assigning the correct value attribute, i.e., in understanding the semantics of the temporal expressions.},
acmid = {1859735},
added-at = {2022-10-26T14:58:30.000+0200},
address = {Stroudsburg, PA, USA},
author = {Strötgen, Jannik and Gertz, Michael},
biburl = {https://www.bibsonomy.org/bibtex/20ac67efa761a0eff2d94364f76e431fc/albinzehe},
booktitle = {Proceedings of the 5th International Workshop on Semantic Evaluation},
interhash = {72b465526ec4469cf7842d238bbc9806},
intrahash = {0ac67efa761a0eff2d94364f76e431fc},
keywords = {heideltime kallimachos time},
location = {Los Angeles, California},
numpages = {4},
pages = {321--324},
publisher = {Association for Computational Linguistics},
series = {SemEval '10},
timestamp = {2022-10-26T14:58:30.000+0200},
title = {HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions},
url = {http://dl.acm.org/citation.cfm?id=1859664.1859735},
year = 2010
}