منابع مشابه
Econo-ESA in semantic text similarity
Explicit semantic analysis (ESA) utilizes an immense Wikipedia index matrix in its interpreter part. This part of the analysis multiplies a large matrix by a term vector to produce a high-dimensional concept vector. A similarity measurement between two texts is performed between two concept vectors with numerous dimensions. The cost is expensive in both interpretation and similarity measurement...
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Short Text Semantic Similarity measurement is a new and rapidly growing field of research. “Short texts” are typically sentence length but are not required to be grammatically correct. There is great potential for applying these measures in fields such as Information Retrieval, Dialogue Management and Question Answering. A dataset of 65 sentence pairs, with similarity ratings, produced in 2006 ...
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Semantic text similarity (STS) is an essential problem in many Natural Language Processing tasks, which has drawn a considerable amount of attention by research community in recent years. In this paper, our work focused on computing semantic similarity between texts of sentence length. We employed a Support Vector Regression model with rich effective features to predict the similarity scores be...
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Sentence and document similarity assessment is key to most NLP applications. This paper presents a novel measure of calculating the similarity between sentences or between documents using ontology. The similarity is assessed using sentence or document concept vector forming from finding the linkage between ontology terms and sentence or document content, the linage can be used to generate seman...
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ژورنال
عنوان ژورنال: SpringerPlus
سال: 2014
ISSN: 2193-1801
DOI: 10.1186/2193-1801-3-149