Difference between revisions of "Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results"
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| − | '''Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results''' - scientific work related to Wikipedia quality published in 2014, written by Zeyu Meng, Dong Yu and Endong Xun. | + | '''Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Zeyu Meng]], [[Dong Yu]] and [[Endong Xun]]. |
== Overview == | == Overview == | ||
| − | Microblog has provided a convenient and instant platform for information publication and acquisition. Microblog’s short, noisy, real-time features make Chinese Microblog entity linking task a new challenge. In this paper, authors investigate the linking approach and introduce the implementation of a Chinese Microblog Entity Linking (CMEL) System. In particular, authors first build synonym dictionary and process the special identifier. Then authors generate candidate set combining Wikipedia and search engine retrieval results. Finally, authors adopt improved VSM to get textual similarity for entity disambiguation. The accuracy of CMEL system is 84.35%, which ranks the second place in NLPCC 2014 Evaluation Entity Linking Task. | + | Microblog has provided a convenient and instant platform for information publication and acquisition. Microblog’s short, noisy, real-time [[features]] make Chinese Microblog entity linking task a new challenge. In this paper, authors investigate the linking approach and introduce the implementation of a Chinese Microblog Entity Linking (CMEL) System. In particular, authors first build synonym dictionary and process the special identifier. Then authors generate candidate set combining [[Wikipedia]] and search engine retrieval results. Finally, authors adopt improved VSM to get textual similarity for entity disambiguation. The accuracy of CMEL system is 84.35%, which ranks the second place in NLPCC 2014 Evaluation Entity Linking Task. |
Revision as of 22:53, 16 July 2019
Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results - scientific work related to Wikipedia quality published in 2014, written by Zeyu Meng, Dong Yu and Endong Xun.
Overview
Microblog has provided a convenient and instant platform for information publication and acquisition. Microblog’s short, noisy, real-time features make Chinese Microblog entity linking task a new challenge. In this paper, authors investigate the linking approach and introduce the implementation of a Chinese Microblog Entity Linking (CMEL) System. In particular, authors first build synonym dictionary and process the special identifier. Then authors generate candidate set combining Wikipedia and search engine retrieval results. Finally, authors adopt improved VSM to get textual similarity for entity disambiguation. The accuracy of CMEL system is 84.35%, which ranks the second place in NLPCC 2014 Evaluation Entity Linking Task.
