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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제14권 제4호
- 발행연도
- 2018.1
- 수록면
- 824 - 836 (13page)
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초록· 키워드
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The automatic extraction of temporal information from written texts is a key component of questionanswering and summarization systems and its efficacy in those systems is very decisive if a temporalexpression (TE) is successfully extracted. In this paper, three different approaches for TE extraction inUyghur are developed and analyzed. A novel approach which uses lexical semantics as an additionalinformation is also presented to extend classical approaches which are mainly based on morphology andsyntax. We used a manually annotated news dataset labeled with TIMEX3 tags and generated three modelswith different feature combinations. The experimental results show that the best run achieved 0.87 forPrecision, 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 languageanalysis and significantly aids the development of more efficient Uyghur TE extraction system.
목차
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참고문헌 (19)
참고문헌 신청
H. Jung / 2013 / ATT1: temporal annotation using big windows and rich syntactic and semantic features / Proceedings of the 2nd Joint Conference on Lexical and Computational Semantics (*SEM), and the 7nth International Workshop on Semantic Evaluation (SemEval) :20~24
N. Chambers / 2013 / NavyTime: event and time ordering from raw text / US Naval Academy
P. Jindal / 2013 / Extraction of events and temporal expressions from clinical narratives / Journal of Biomedical Informatics 46:S13~S19
M. Filannino / 2015 / Temporal expression extraction with extensive feature type selection and a posteriori label adjustment / Data & Knowledge Engineering 100:19~33
Azragul / 2016 / Research on method for Uyghur temporal word recognition / International Journal of Database Theory and Application 9(1):209~216
N. Chambers / 2013 / NavyTime: event and time ordering from raw text / US Naval Academy
P. Jindal / 2013 / Extraction of events and temporal expressions from clinical narratives / Journal of Biomedical Informatics 46:S13~S19
M. Filannino / 2015 / Temporal expression extraction with extensive feature type selection and a posteriori label adjustment / Data & Knowledge Engineering 100:19~33
Azragul / 2016 / Research on method for Uyghur temporal word recognition / International Journal of Database Theory and Application 9(1):209~216
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