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35

EMNLP
2007

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Towards Robust Unsupervised Personal Name Disambiguation

14 years 18 days ago

Towards Robust Unsupervised Personal Name Disambiguation

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The increasing use of large open-domain document sources is exacerbating the problem of ambiguity in named entities. This paper explores the use of a range of syntactic and semantic features in unsupervised clustering of documents that result from ad hoc queries containing names. From these experiments, we find that the use of robust syntactic and semantic features can significantly improve the state of the art for disambiguation performance for personal names for both Chinese and English.

Ying Chen, James Martin

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EMNLP 2007 | Natural Language Processing | Open-domain Document Sources | Queries Containing Names | Semantic Features |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2007
Where	EMNLP
Authors	Ying Chen, James Martin

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