NDLI: Sense abstractness, semantic activation, and word sense disambiguation

Content Provider	Springer Nature Link
Author	Kwong, Oi Yee
Copyright Year	2009
Abstract	Concrete concepts are often easier to understand than abstract concepts. The notion of abstractness is thus closely tied to the organisation of our semantic memory, and more specifically our internal lexicon, which underlies our word sense disambiguation (WSD) mechanisms. State-of-the-art automatic WSD systems often draw on a variety of contextual cues and assign word senses by an optimal combination of statistical classifiers. The validity of various lexico-semantic resources as models of our internal lexicon and the cognitive aspects pertinent to the lexical sensitivity of WSD are seldom questioned. We attempt to address these issues by examining psychological evidence of the internal lexicon and its compatibility with the information available from computational lexicons. In particular, we compare the responses from a word association task against existing lexical resources, WordNet and SUMO, to explore the relation between sense abstractness and semantic activation, and thus the implications on semantic network models and the lexical sensitivity of WSD. Our results suggest that concrete senses are more readily activated than abstract senses, and broad associations are more easily triggered than narrow paradigmatic associations. The results are expected to inform the construction of lexico-semantic resources and WSD strategies.
Starting Page	135
Ending Page	146
Page Count	12
File Format	PDF
ISSN	13812416
Journal	International Journal of Speech Technology
Volume Number	11
Issue Number	3-4
e-ISSN	15728110
Language	English
Publisher	Springer US
Publisher Date	2009-10-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sense abstractness Semantic activation Word association Word sense disambiguation Lexical sensitivity Information susceptibility Artificial Intelligence (incl. Robotics) Social Sciences Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Human-Computer Interaction Computer Vision and Pattern Recognition Software Linguistics and Language

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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