Mining Rules for Word Sense Disambiguation
نویسندگان
چکیده
This paper describes the automatic generation and the evaluation of sets of rules for word sense disambiguation (WSD) in machine translation. The ultimate aim is to identify high-quality rules that can be used as knowledge sources in a relational WSD model. The evaluation was carried out both automatically, by means of four objective measures (error, coverage, support and novelty), and manually, by means of a subjective analysis of the level of interest of the best rules as pointed out by the objective measures. As a result, we selected 63 rules addressing seven highly ambiguous verbs. The evaluation also evidenced which kinds of knowledge were effectively used by the WSD rules, which are not always the same as those revealed by traditional evaluations of complete WSD models.
منابع مشابه
Mining Association Rules Based Approach to Word Sense Disambiguation for Hindi Language
These days, the language is making hindrances in the advantages of Information Technology revolution in India. So, there is the need of the adequate measures to perform natural language processing (NLP) through computer processing so that computer based system can be interacted by users through natural language like Hindi. This paper presents a new Word Sense Disambiguation method associated wi...
متن کاملMining Class Association Rules for Word Sense Disambiguation
In this paper we propose an approach to the task of Word Sense Disambiguation problem that uses Class Association Rules to create an e ective and human-understandable rule-based classi er. We present the accuracy of classi cation of selected polysemous words on an evaluation corpus using the proposed method and compare it to other known approaches. We discuss the advantages and weaknesses of a ...
متن کاملDesign and Implementation of Association Rules Based System for Evaluating WSD
In this paper we presentnew method that usedassociation rules mining techniques in the field of natural language processing. Word sense disambiguation is persistently a central and challenging problem as increasing usage of internet in daily life. Every user has some queries that have to be searched on the internet. Transactional Database is created after preprocessing the text files. Ambiguous...
متن کاملSemantic Distances for Sets of Senses and Applications in Word Sense Disambiguation
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...
متن کاملرفع ابهام معنایی واژگان مبهم فارسی با مدل موضوعی LDA
Word sense disambiguation is the task of identifying the correct sense for the word in a given context among a finite set of possible sense. In this paper a model for farsi word sense disambiguation is presented. The model use two group of features: first, all word and stop words around target word and topic models as second features. We extract topics from a farsi corpus with Latent Dirichlet ...
متن کامل