کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4961836 | 1446519 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improving Semantic Relatedness Assessments: Ontologies Meet Textual Corpora
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Even though the calculation of the semantic similarity between textual entities has received a lot of attention by the research community, the more general notion of semantic relatedness (which considers both taxonomic and non-taxonomic knowledge) has been significantly less studied and, in general, stays one step behind in terms of accuracy. In this paper, we improve semantic relatedness assessments by aggregating the highly-accurate ontology-based estimation of semantic similarity with the distributional resemblance of textual terms computed from large textual corpora. As a result, our approach is able to improve the accuracy of related works on a standard benchmark.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 96, 2016, Pages 365-374
Journal: Procedia Computer Science - Volume 96, 2016, Pages 365-374
نویسندگان
Montserrat Batet, David Sánchez,