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Our current investigation in Word Sense Disambiguation focuses on the role of domain information. Semantic Domains provide a natural way to establish semantic relations among word senses, which can be profitably used for Computational Linguistics. Approach to WSD decomposes the task into two steps. For each word to disambiguate the domain of the context is estimated. Then it is compared to the domain of each word sense, and the most similar one is selected. An extension of the Princeton English.

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Our current investigation in Word Sense Disambiguation focuses on the role of domain information. Semantic Domains provide a natural way to establish semantic relations among word senses, which can be profitably used for Computational Linguistics. Approach to WSD decomposes the task into two steps. For each word to disambiguate the domain of the context is estimated. Then it is compared to the domain of each word sense, and the most similar one is selected. An extension of the Princeton English.
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Our current investigation in Word Sense Disambiguation focuses on the role of domain information. Semantic Domains provide a natural way to establish semantic relations among word senses, which can be profitably used for Computational Linguistics. Approach to WSD decomposes the task into two steps. For each word to disambiguate the domain of the context is estimated. Then it is compared to the domain of each word sense, and the most similar one is selected. An extension of the Princeton English.

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People

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Alfio Gliozzo, Carlo Strapparava. ". Semantic Domains in Natural Language Processing. Springer, to be published. Alfio Gliozzo, Carlo Strapparava, Ido Dagan. "Unsupervised and Supervised Exploitation of Semantic Domains in Lexical Disambiguation", in Computer Speech and Language,18(3), pp. 275-299 , 2004. Bernardo Magnini, Carlo Strapparava, User Modelling for News Web Sites with Word Sense Based Techniques , User Modeling and User-Adapted Interaction 14(2), pp. 239-257, June 2004. Alfio Gliozzo, Bernard...

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Systems

http://ddd.fbk.eu/DDD/Systems.html

DDD implements the idea of Domain Driven Disambiguation. It exploits the Domain Labels (e.g. Medicine, Sport, Architecture) associated to the. Synsets provided by the lexical resource. The DDD framework is now integrated by syntagmatic information in the Kernel-WSD system. Kernel-WSD was the best performing system in many. Presented at SENSEVAL-2 (2001) competition. Developed in the context of the MEANING European. Project. It has been exploited to disambiguate English, Italian and Spanish texts.

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Our current investigation in Word Sense Disambiguation focuses on the role of domain information. Semantic Domains provide a natural way to establish semantic relations among word senses, which can be profitably used for Computational Linguistics. Approach to WSD decomposes the task into two steps. For each word to disambiguate the domain of the context is estimated. Then it is compared to the domain of each word sense, and the most similar one is selected. An extension of the Princeton English.

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