Word Sense Disambiguation for Arabic Exploiting Arabic WordNet and Word Embedding
نویسندگان
چکیده
منابع مشابه
Word sense disambiguation for arabic text categorization
In this paper, we present two contributions for Arabic Word Sense Disambiguation. In the first one, we propose to use both two external resources AWN and WN based on Term to Term Machine Translation System (MTS). The second contribution relates to the disambiguation strategies, it consists of choosing the nearest concept for the ambiguous terms, based on more relationships with different concep...
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In this paper, we present a hybrid approach for Word Sense Disambiguation of Arabic Language (called WSD-AL), that combines unsupervised and knowledge-based methods. Some pre-processing steps are applied to texts containing the ambiguous words in the corpus (1500 texts extracted from the web), and the salient words that affect the meaning of these words are extracted. After that a Context Match...
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Word Sense Disambiguation (WSD) is the process of selecting a sense of an ambiguous word in a given context from a set of predefined senses. Sense Inventory usually comes from a dictionary or thesaurus. In Arabic, the main cause of word ambiguity is the lack of diacritics of the most digital documents so the same word can occurs with different senses. In this paper, we use the rooting algorithm...
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The granularity of word senses in current general purpose sense inventories is often too fine-grained, with narrow sense distinctions that are irrelevant for many NLP applications. This has particularly been a problem with WordNet which is widely used for word sense disambiguation (WSD). There have been several attempts to group WordNet senses given a number of different information sources in ...
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This paper presents a suite of methods and results for the semantic disambiguation of WordNet glosses. WordNet is a resource widely used in natural language processing and artificial intelligence. Intended and designed as a lexical database, WordNet exhibits some deficiencies when used as a knowledge base. By semantically disambiguating the words in the glosses, we add pointers from each word t...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.10.460