The TALP systems for disambiguating WordNet glosses
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منابع مشابه
Word sense disambiguation of WordNet glosses
This paper presents a suite of methods and results for the semantic disambiguation of WordNet glosses. WordNet is a resource widely used in natural language processing and artificial intelligence. Intended and designed as a lexical database, WordNet exhibits some deficiencies when used as a knowledge base. By semantically disambiguating the words in the glosses, we add pointers from each word t...
متن کاملCombining Methods for Word Sense Disambiguation of WordNet Glosses
This paper presents a new approach for combining different semantic disambiguation methods that are part of a Word Sense Disambiguation(WSD) system. The way these methods are combined greatly influences the overall system performance. The approach is based on generating training examples, for each sense of the word, based on the output of each disambiguation method. A set of rules is learned fr...
متن کاملSenseval-3 task: Word Sense Disambiguation of WordNet glosses
The SENSEVAL-3 task to perform word-sense disambiguation of WordNet glosses was designed to encourage development of technology to make use of standard lexical resources. The task was based on the availability of sensedisambiguated hand-tagged glosses created in the eXtended WordNet project. The hand-tagged glosses provided a “gold standard” for judging the performance of automated disambiguati...
متن کاملMultilingual eXtended WordNet Knowledge Base: Semantic Parsing and Translation of Glosses
This paper presents a method to create WordNet-like lexical resources for different languages. Instead of directly translating glosses from one language to another, we perform first semantic parsing of WordNet glosses and then translate the resulting semantic representation. The proposed approach simplifies the machine translation of the glosses. The approach provides ready to use semantic repr...
متن کاملIntegrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation
The lack of large, semantically annotated corpora is one of the main drawbacks of Word Sense Disambiguation systems. Unsupervised systems do not need such corpora and rely on the information of the WordNet ontology. In order to improve their performance, the use of other lexical resources need to be investigated. This paper describes the effort to integrate the Conceptual Density approach with ...
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تاریخ انتشار 2004