Semantic Scholar Open Access 2017 562 sitasi

Cross-lingual Name Tagging and Linking for 282 Languages

Xiaoman Pan Boliang Zhang Jonathan May J. Nothman Kevin Knight +1 lainnya

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Abstrak

The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating “silver-standard” annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.

Topik & Kata Kunci

Computer Science

Penulis (6)

Xiaoman Pan

Boliang Zhang

Jonathan May

J. Nothman

Kevin Knight

Heng Ji

Format Sitasi

APA MLA BibTeX

Pan, X., Zhang, B., May, J., Nothman, J., Knight, K., Ji, H. (2017). Cross-lingual Name Tagging and Linking for 282 Languages. https://doi.org/10.18653/v1/P17-1178

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Lihat di Sumber doi.org/10.18653/v1/P17-1178

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 562×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/P17-1178
Akses: Open Access ✓