Domain Adaptation using Word Embeddings for Word Sense Disambiguation
نویسندگان
چکیده
منابع مشابه
Word Domain Disambiguation via Word Sense Disambiguation
Word subject domains have been widely used to improve the performance of word sense disambiguation algorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject domains. The few existing approaches have focused on the development of algorithms specific to word domain disambiguation. In this paper we explore an alternative approach where word doma...
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The major goal in ITC-irst's participation at SENSEVAL-2 was to test the role of domain information in word sense disambiguation. The underlying working hypothesis is that domain labels, such as MEDICINE, ARCHITECTURE and SPORT provide a natural way to establish semantic relations among word senses, which can be profitably used during the disambiguation process. For each task in which we partic...
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When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance of domain adaptation for word sense disambiguation. In this paper, we first show that an active learning approach can be successfully used to perform domain adaptation of WSD systems. Then, by using the predominant se...
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Instances of a word drawn from different domains may have different sense priors (the proportions of the different senses of a word). This in turn affects the accuracy of word sense disambiguation (WSD) systems trained and applied on different domains. This paper presents a method to estimate the sense priors of words drawn from a new domain, and highlights the importance of using well calibrat...
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OF THESIS Biomedical Word Sense Disambiguation with Neural Word and Concept Embeddings Addressing ambiguity issues is an important step in natural language processing (NLP) pipelines designed for information extraction and knowledge discovery. This problem is also common in biomedicine where NLP applications have become indispensable to exploit latent information from biomedical literature and ...
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ژورنال
عنوان ژورنال: Journal of Natural Language Processing
سال: 2018
ISSN: 1340-7619,2185-8314
DOI: 10.5715/jnlp.25.463