Applying Lexical Semantics to Automatic Extraction of Temporal Expressions in Uyghur

Alim Murat, Azharjan Yusup, Zulkar Iskandar, Azragul Yusup and Yusup Abaydulla
Volume: 14, No: 4, Page: 824 ~ 836, Year: 2018
10.3745/JIPS.02.0089
Keywords: Feature Combination, Lexical Semantics, Morphosyntax, Temporal Expression Extraction, Uyghur
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Abstract
The automatic extraction of temporal information from written texts is a key component of question answering and summarization systems and its efficacy in those systems is very decisive if a temporal expression (TE) is successfully extracted. In this paper, three different approaches for TE extraction in Uyghur are developed and analyzed. A novel approach which uses lexical semantics as an additional information is also presented to extend classical approaches which are mainly based on morphology and syntax. We used a manually annotated news dataset labeled with TIMEX3 tags and generated three models with different feature combinations. The experimental results show that the best run achieved 0.87 for Precision, 0.89 for Recall, and 0.88 for F1-Measure in Uyghur TE extraction. From the analysis of the results, we concluded that the application of semantic knowledge resolves ambiguity problem at shallower language analysis and significantly aids the development of more efficient Uyghur TE extraction system.

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Cite this article
IEEE Style
Alim Murat, Azharjan Yusup, Zulkar Iskandar, Azragul Yusup, and Yusup Abaydulla, "Applying Lexical Semantics to Automatic Extraction of Temporal Expressions in Uyghur," Journal of Information Processing Systems, vol. 14, no. 4, pp. 824~836, 2018. DOI: 10.3745/JIPS.02.0089.

ACM Style
Alim Murat, Azharjan Yusup, Zulkar Iskandar, Azragul Yusup, and Yusup Abaydulla, "Applying Lexical Semantics to Automatic Extraction of Temporal Expressions in Uyghur," Journal of Information Processing Systems, 14, 4, (2018), 824~836. DOI: 10.3745/JIPS.02.0089.