Incremental Knowledge Acquisition for WSD: A Rough Set and IL based Method

Incremental Knowledge Acquisition for WSD: A Rough Set and IL based Method

Word sense disambiguation (WSD) is one of tricky tasks in natural language processing (NLP) as it needs to take into full account all the complexities of language. Because WSD involves in discovering semantic structures from unstructured text, automatic knowledge acquisition of word sense is profoun...

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Bibliographic Details
Main Authors:	Xu Huang, Xiulan Hao, Qing Shen, Bin Shao
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2015-07-01
Series:	EAI Endorsed Transactions on Scalable Information Systems
Subjects:	Rough Set (RS) Instance-based learning (IL) Word Sense Disambiguation (WSD) Knowledge Acquisition Natural Language Processing (NLP)
Online Access:	http://eudl.eu/doi/10.4108/sis.2.5.e3

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