An Approach to Reduce Part of Speech Ambiguity Using Semantically Annotated Lexicon Definitions
- DOI
- 10.2991/msie-13.2013.94How to use a DOI?
- Keywords
- Lesk algorithm, knowledge-based Word Sense Disambiguation, semantically annotated glosses, lexicon network, semantic signature, semantic similarity cost, POS ambiguity
- Abstract
In computational linguistics, the problem of word-sense disambiguation (WSD) is a difficult one and methods using a flat topology of the tokens are not very effective. One solution to this is to use a Part of Speech (POS) tagger before starting the WSD process. However, POS taggers show their limitations when high precision tagging is required or large texts are processed. This paper presents a technique to reduce the POS ambiguity using semantic information. As benchmarks we use as following standard WSD corpuses: Senseval2, Senseval3 and Semcor. Moreover, we tested our approach on WordNet semantically tagged glosses for English and on our own semantically tagged lexicon glosses for Romanian language.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Andrei Minc AU - Tefan Diaconescu PY - 2013/11 DA - 2013/11 TI - An Approach to Reduce Part of Speech Ambiguity Using Semantically Annotated Lexicon Definitions BT - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering PB - Atlantis Press SP - 439 EP - 446 SN - 1951-6851 UR - https://doi.org/10.2991/msie-13.2013.94 DO - 10.2991/msie-13.2013.94 ID - Minc2013/11 ER -