This paper explores the application of knowledgebased Word Sense Disambiguation systems to specific domains, based on our state-of-the-art graphbased WSD system that uses the information in WordNet. Evaluation was performed over a publicly available domain-specific dataset of 41 words related to Sports and Finance, comprising examples drawn from three corpora: one balanced corpus (BNC), and two...

Due to the complexity of natural language, sufficiently reliable Word Sense Disambiguation (WSD) systems are yet to see the daylight in spite of years of work directed towards that goal in Artificial Intelligence, Computational Linguistics and other related disciplines. We describe how the goal could be approached by applying hybrid methods to information sources and knowledge types. The overal...

Word embeddings are now ubiquitous forms of word representation in natural language processing. There have been applications of word embeddings for monolingual word sense disambiguation (WSD) in English, but few comparisons have been done. This paper attempts to bridge that gap by examining popular embeddings for the task of monolingual English WSD. Our simplified method leads to comparable sta...

  The first time the white spot disease (WSD) and IHHNV were reported in Iran was in 2004 and 2008, respectively in Bushehr Province. In Sistan and Balochestan province only the WSD was reported in 2008.The aim of this study was detecting these two viral diseases in these provinces, during December 2009 to April 2010. A total of 364 samples were collected according to suspected gross signs from...

  Shrimp farmers have been suffering from loss of production due to White Spot Disease (WSD) in the last decades. A few studies focused on the environmental factors predisposed WSD. Our study aimed to investigate the effects of the different salinities on occurrence of WSD. The treatments were 30 ppt, 40 ppt and 50 ppt in triplicate and corresponding untreated control groups. White Spot Virus (...

we investigated the response of sea buckthorn to drought in a nursery experiment that has been studied for the first time in the world for iranian sea buckthorn. biomass and physiological differences in response to drought were compared between four elaeagnus rhamnoides seedlings inhabited in qazvin province origin seeds of iran. the experimental design included four water regimes including 2, ...

We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-supervised clustering that controls the fluctuation of the centroid of a cluster, and we select seed instances by considering the frequency distribution of word senses and exclude outliers when we introduce “must-link”...

This paper proposes a method to improve the robustness of a word sense disambiguation (WSD) system for Japanese. Two WSD classifiers are trained from a word sense-tagged corpus: one is a classifier obtained by supervised learning, the other is a classifier using hypernyms extracted from definition sentences in a dictionary. The former will be suitable for the disambiguation of high frequency wo...

There has been an increasing interest both from the Information Retrieval community and the Data Mining community in investigating possible advantages of using Word Sense Disambiguation (WSD) for enhancing semantic information in the Information Retrieval and Data Mining process. Although contradictory results have been reported, there are strong indications that the use of WSD can contribute t...

A word may have multiple senses and the challenge is to find out which particular sense is appropriate in a given context. Word sense disambiguation(WSD) resolves this ambiguity by finding out which particular sense of a word is appropriate in a given context. WSD is of critical importance in the areas of machine translation, information retrieval, speech processing etc. In this paper we presen...