Automatic discovery of named entity variants – Grammar-driven approaches to non-alphabetical transliterations

Chu Ren Huang; Petr Šimon; Shu Kai Hsieh

Automatic discovery of named entity variants – Grammar-driven approaches to non-alphabetical transliterations

Chu Ren Huang, Petr Šimon, Shu Kai Hsieh

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of transliterated named entities, the difference between PRC and Taiwan is the most prevalent and most challenging. In this paper, we introduce a novel approach to the automatic extraction of diverging transliterations of foreign named entities by bootstrapping co-occurrence statistics from tagged and segmented Chinese corpus. Preliminary experiment yields promising results and shows its potential in NLP applications.

Original language	English
Pages (from-to)	153-156
Number of pages	4
Journal	Proceedings of the Annual Meeting of the Association for Computational Linguistics
Publication status	Published - Jun 2007
Externally published	Yes
Event	45th Annual Meeting of the Association for Computational Linguistics, ACL 2007 - Prague, Czech Republic Duration: 25 Jun 2007 → 27 Jun 2007

ASJC Scopus subject areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

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https://aclanthology.org/P07-2039

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title = "Automatic discovery of named entity variants – Grammar-driven approaches to non-alphabetical transliterations",

abstract = "Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of transliterated named entities, the difference between PRC and Taiwan is the most prevalent and most challenging. In this paper, we introduce a novel approach to the automatic extraction of diverging transliterations of foreign named entities by bootstrapping co-occurrence statistics from tagged and segmented Chinese corpus. Preliminary experiment yields promising results and shows its potential in NLP applications.",

author = "Huang, {Chu Ren} and Petr {\v S}imon and Hsieh, {Shu Kai}",

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Automatic discovery of named entity variants – Grammar-driven approaches to non-alphabetical transliterations. / Huang, Chu Ren; Šimon, Petr; Hsieh, Shu Kai.
In: Proceedings of the Annual Meeting of the Association for Computational Linguistics, 06.2007, p. 153-156.

Research output: Journal article publication › Conference article › Academic research › peer-review

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AU - Šimon, Petr

AU - Hsieh, Shu Kai

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N2 - Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of transliterated named entities, the difference between PRC and Taiwan is the most prevalent and most challenging. In this paper, we introduce a novel approach to the automatic extraction of diverging transliterations of foreign named entities by bootstrapping co-occurrence statistics from tagged and segmented Chinese corpus. Preliminary experiment yields promising results and shows its potential in NLP applications.

AB - Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of transliterated named entities, the difference between PRC and Taiwan is the most prevalent and most challenging. In this paper, we introduce a novel approach to the automatic extraction of diverging transliterations of foreign named entities by bootstrapping co-occurrence statistics from tagged and segmented Chinese corpus. Preliminary experiment yields promising results and shows its potential in NLP applications.

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SN - 0736-587X

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EP - 156

JO - Proceedings of the Annual Meeting of the Association for Computational Linguistics

JF - Proceedings of the Annual Meeting of the Association for Computational Linguistics

T2 - 45th Annual Meeting of the Association for Computational Linguistics, ACL 2007

Y2 - 25 June 2007 through 27 June 2007

ER -

Automatic discovery of named entity variants – Grammar-driven approaches to non-alphabetical transliterations

Abstract

ASJC Scopus subject areas

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