Time Phrase Parsing for Chinese Text with HowNet Temporal Information Structure

Hong-mei Ma; Xiao-yun Wang; Li Qin

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Paper

Time Phrase Parsing for Chinese Text with HowNet Temporal Information Structure

Topics: Concept Mining; Information Extraction; Mining Text and Semi-Structured Data

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 294-299, 2014 , Rome, Italy

Authors: Hong-mei Ma ; Xiao-yun Wang and Li Qin

Affiliation: China Defense Science and Technology Information Center, China

Keyword(s): Information Retrieval, Temporal Information, Time Phrase Parse, Chinese Text.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Concept Mining ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: Time phrase parsing is useful to analyze Chinese text, because it is usually omitted expression in the Chinese text for the coherence and the cohesion. It is important to gain the temporal information, then it can be used to generate the tense of the verb. In this paper, with temporal information structures of HowNet, time phrases are divided into three categories, and a structure is designed to represent the temporal information of time phrases. Then, it puts forward a method to parse time phrases in Chinese text.

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Paper citation in several formats:

Ma, H.; Wang, X. and Qin, L. (2014). Time Phrase Parsing for Chinese Text with HowNet Temporal Information Structure. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - KDIR; ISBN 978-989-758-048-2; ISSN 2184-3228, SciTePress, pages 294-299. DOI: 10.5220/0005094902940299

@conference{kdir14,
author={Hong{-}mei Ma. and Xiao{-}yun Wang. and Li Qin.},
title={Time Phrase Parsing for Chinese Text with HowNet Temporal Information Structure},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - KDIR},
year={2014},
pages={294-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005094902940299},
isbn={978-989-758-048-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - KDIR
TI - Time Phrase Parsing for Chinese Text with HowNet Temporal Information Structure
SN - 978-989-758-048-2
IS - 2184-3228
AU - Ma, H.
AU - Wang, X.
AU - Qin, L.
PY - 2014
SP - 294
EP - 299
DO - 10.5220/0005094902940299
PB - SciTePress