Referenced Items are not available for this document.
Given a certain question, named entity recognition (NER) methods can be an efficient strategy to extract relevant answers. The goal of this work is to extend NER methods for analyzing a set of micro texts, which are short text on online social media. To do so, we propose two contextual closure properties to discover contextual clusters of micro texts, which can be expected to improve the performance of NER tasks. Experimental results demonstrate the feasibility of the proposed method for extracting relevant information in online social network applications.
Published in:
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Date of Conference: 25-27 July 2011
- Page(s):
- 563 - 564
- E-ISBN :
- 978-0-7695-4375-8
- Print ISBN:
- 978-1-61284-758-0
- INSPEC Accession Number:
- 12192159
- Conference Location :
- Kaohsiung
- Digital Object Identifier :
- 10.1109/ASONAM.2011.39
- Product Type:
- Conference Publications
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