ArtsSemNet - Thessaloniki Presentation
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Word sense disambiguation is an essential, yet a very difficult task in natural language processing. While several other NLP tasks, such as POS tagging, can provide more than fairly good results (highly accurate, with almost 100% rate of successfully labeled words), disambiguation is far from achieving such performances. However, we will demonstrate the need of word sense disambiguation in computing the lexical chains on a special kind of text (chats) using a WordNet-based approach. In addition, we will try to identify the bottlenecks (mostly in respect to accuracy) in such an approach and provide possible improvementsWord sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnetUniversity Politehnica Bucharest
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Similaire à ArtsSemNet - Thessaloniki Presentation
Word sense disambiguation is an essential, yet a very difficult task in natural language processing. While several other NLP tasks, such as POS tagging, can provide more than fairly good results (highly accurate, with almost 100% rate of successfully labeled words), disambiguation is far from achieving such performances. However, we will demonstrate the need of word sense disambiguation in computing the lexical chains on a special kind of text (chats) using a WordNet-based approach. In addition, we will try to identify the bottlenecks (mostly in respect to accuracy) in such an approach and provide possible improvementsWord sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnetUniversity Politehnica Bucharest
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ArtsSemNet - Thessaloniki Presentation
- 1. ArtsSemNet : From Bilingual Dictionary To Bilingual Semantic Network Ivanka Atanassova University of Veliko Tarnovo “St. Cyril and Methodius” Svetlin Nakov Sofia University “St. Kliment Ohridski” Preslav Nakov University of California at Berkley
- 5. Screenshot From ArtsDict
- 13. Screenshot from ArtsSemNet