Cross-Lingual Word Sense Disambiguation using Wordnets and Context based Mapping
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1 Cross-Lingual Word Sense Disambiguation using Wordnets and Context based Mapping Prabhat Pandey Rahul Arora Department of Computer Science and Engineering IIT Kanpur Advisor : Prof. Amitabha Mukerjee April 3, 2012
2 Importance Importance Cross-Lingual WSD has applications in Question Answering, Machine Translation, Information Retrieval Lack of resources for languages like. Can be used to create sense-tagged corpus.
3 Untagged English Texts WordNet Synsets Mapping Wordnet Untagged Texts English WSD Integrate WSD Tagged English Texts Englsih WSD - Figure taken from [1] Synset Mapping Tagged Texts Tranfer to
4 English Word Sense Disambiguation English WSD Used WordNet::SenseRelate::AllWords for English WSD Uses Lesk Algorithm for disambiguating senses Got sense tagged texts with sense number e.g. - tax#n#1 [tax, taxation, revenue enhancement]
5 Synset Mapping WordNet Hypernym Hypernym Translation English Word Translations Synsets Matched Hypernym Wordnet Hypernyms
6 Transfer to Transfer to Search each words of synset in comparable corpus. Tag same sense as that of English label. e.g.- tax#n#1 कर[tax#n#1]#4107 Synset [2] NOUN - [ कर, ट स, महस ल, श लक ]
7 Transfer to Transfer to Three possible scenarios-..1 English word is polysemous while equivalent word is monosemous e.g. - Bank ब क Synset obtained- [ ब क ]..2 Both English and equivalent word are polysemous e.g. - Branch श ख Synset obtained- [ श ख, ड ल, ड ल, ट र, स ख ]..3 English Word is monosemous while equivalent word is polysemous e.g. - Mango आम Synset obtained- [ आम, रस ल, आ, अ ब, अ ब, य ब ]
8 Limitations and Flaws Limitations and Flaws Restricted to nouns only. A better synset mapping resource may produce good results. Morphology handling.
9 References References Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone and Aijun An Cross-lingual word sense disambiguation for languages with scarce resources In Canadian Conference on AI 11, pages , Dipak Narayan, Debasri Chakrabarty, Prabhakar Pande and Pushpak Bhattacharyya An experience in building the Indo-WordNet A WordNet for In Proceedings of the First International Conference on Global WordNet (GWC 02), Mysore, India, G. Miller, R. Beckwith, C. Fellbaum, D. Gross and K. Miller Introduction to WordNet: An On-line Lexical Database. International Journal of Lexicography Vol. 3, No. 4, pages , J. Ramanand, Akshay Ukey, Brahm Kiran Singh and Pushpak Bhattacharyya Mapping and Structural Analysis of Multi-lingual Wordnets IEEE Data Engineering Bulletin, pages 30-44, 30(1), Michael Lesk Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone In SIGDOC 86: Proceedings of the 5th annual international conference on Systems documentation, pages 24 26, New York, NY, USA, Ted Pederson and Varada Kolhatkar WordNet:SenseRelate:AllWords: A broad coverage Word Sense Tagger that maximizes semantic relatedness In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume:Demonstration Session, (2009)
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