Abstract
Aiming at the task of Entity Recognition and Linking in Chinese Search Queries in NLP&CC 2015, this paper proposes the solutions to entity recognition, entity linking and entity disambiguation. Dictionary, online knowledge base and SWJTU Chinese word segmentation are used in entity recognition. Synonyms thesaurus, redirect of Wikipedia and the combination of improved PED (Pinyin Edit Distance) algorithm and LCS (Longest Common Subsequence) are applied in entity linking. The methods of suffix supplement and link value computation based on online encyclopedia are adopted in entity disambiguation. The experiment results indicate that the proposed solutions in this paper are effective for the case of short queries and insufficient contexts.
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Yuan, J., Yang, Y., Jia, Z., Yin, H., Huang, J., & Zhu, J. (2015). Entity recognition and linking in chinese search queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9362, pp. 507–519). Springer Verlag. https://doi.org/10.1007/978-3-319-25207-0_47
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