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- W2912872987 abstract "Lexical semantics (the semantics of words) has become an important part of Natural Language Processing due to its practical application in a number of areas such as machine translation, web & enterprise search, ontology learning etc.This fact can be observed by looking at the increasing interest in the field of learning of lexical semantics e.g. the last Semantic Evaluation Workshop (SemEval-2007) consisted of 18 tasks ranging from the traditionalWord Sense Disambiguation (WSD) task to the most recent ofWord Sense Induction (WSI), web people search, metonymy resolution and others.Given the wide variety of applications exploiting lexical semantics it is significant to focus on methods and techniques, which can overcome the Knowledge Acquisition Bottleneck and deal with the costprohibitive, error-prone and labor-intensive processes of creating hand-tagged training data.The emphasis of this workshop is on unsupervised and minimally supervised methods relevant to learning of lexical semantics. The goal of this workshop is to provide a venue for researchers to obtain a better understanding on the issues and challenges that need to be tackled in order to overcome a number of significant problems within lexical semantics, such as data sparsity, unsupervised and minimally supervised parameter estimation, efficient and effective use of the web, and applications of distributional similarity." @default.
- W2912872987 created "2019-02-21" @default.
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- W2912872987 date "2009-06-05" @default.
- W2912872987 modified "2023-09-26" @default.
- W2912872987 title "Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics" @default.
- W2912872987 hasPublicationYear "2009" @default.
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