Word sense disambiguation to improve precision for ambiguous queries
نویسندگان
چکیده
منابع مشابه
Expanding Queries Through Word Sense Disambiguation
The use of semantic information in the right way can lead to improved precision and recall figures in Information Retrieval (IR) systems. This assumption is the start point for the work carried out by the MIRACLE research team at ImageCLEF 2006. For this purpose, an implementation of the specification marks Word Sense Disambiguation (WSD) method [4] has been developed. This method is based on W...
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Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate systems able to tackle complex tasks such as information extraction, summarization or document classification. In this work we explore whether multil...
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This paper addresses the problem of large-scale acquisition of computational-semantic lexicons from machine-readable resources. We describe semantic filters designed to reduce the number of incorrect assignments (i.e., improve precision) made by a purely syntactic technique. We demonstrate that it is possible to use these filters to build broad-coverage lexicons with minimal effort, at a depth ...
متن کاملSyntactic Features for High Precision Word Sense Disambiguation
This paper explores the contribution of a broad range of syntactic features to WSD: grammatical relations coded as the presence of adjuncts/arguments in isolation or as subcategorization frames, and instantiated grammatical relations between words. We have tested the performance of syntactic features using two different ML algorithms (Decision Lists and AdaBoost) on the Senseval-2 data. Adding ...
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The topic of a document can prove to be useful information for Word Sense Disambiguation (WSD) since certain meanings tend to be associated with particular topics. This paper presents an LDA-based approach for WSD, which is trained using any available WSD system to establish a sense per (Latent Dirichlet allocation based) topic. The technique is tested using three unsupervised and one supervise...
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ژورنال
عنوان ژورنال: Open Computer Science
سال: 2012
ISSN: 2299-1093
DOI: 10.2478/s13537-012-0032-6