@inproceedings{f6f266d4a7594440811a66edf671ca69,
title = "Bilingual seed lexicon adaptation for entity translation extraction",
abstract = "Bilingual seed lexicon, which is considered as a bridge between two languages, is one of the main resources used for entity translation extraction tasks from comparable corpora. However, little attention has been paid to this lexicon except its coverage. In fact, the quality of the seed lexicon is one of the key factors that affect the accuracy of entity translation extraction. In this paper, we propose a new self-adaptive model. We use a word segmentation technique to adapt segmented corpora and then propose two strategies of weight allocation and corresponding filter. Experiments demonstrate that our technique significantly outperforms the standard approach.",
keywords = "adaptation, comparable corpora, entity translation extraction, seed lexicon",
author = "Wei Wang and Tiejun Zhao and Chunyue Zhang",
year = "2013",
doi = "10.1109/ICNC.2013.6818181",
language = "英语",
isbn = "9781467347143",
series = "Proceedings - International Conference on Natural Computation",
publisher = "IEEE Computer Society",
pages = "1309--1313",
booktitle = "Proceedings - 2013 9th International Conference on Natural Computation, ICNC 2013",
address = "美国",
note = "2013 9th International Conference on Natural Computation, ICNC 2013 ; Conference date: 23-07-2013 Through 25-07-2013",
}