کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4946123 | 1439269 | 2017 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spreading semantic information by Word Sense Disambiguation
ترجمه فارسی عنوان
گسترش اطلاعات معنایی با اصطلاح لغوی کلمه
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کلمات کلیدی
پردازش زبان طبیعی، مبتنی بر گرافیک، مبتنی بر دانش، یکنواختی کلمه معنی، رتبه صفحه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper presents an unsupervised approach to solve semantic ambiguity based on the integration of the Personalized PageRank algorithm with word-sense frequency information. Natural Language tasks such as Machine Translation or Recommender Systems are likely to be enriched by our approach, which includes semantic information that obtains the appropriate word-sense via support from two sources: a multidimensional network that includes a set of different resources (i.e. WordNet, WordNet Domains, WordNet Affect, SUMO and Semantic Classes); and the information provided by word-sense frequencies and word-sense collocation from the SemCor Corpus. Our series of results were analyzed and compared against the results of several renowned studies using SensEval-2, SensEval-3 and SemEval-2013 datasets. After conducting several experiments, our procedure produced the best results in the unsupervised procedure category taking SensEval campaigns rankings as reference.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 132, 15 September 2017, Pages 47-61
Journal: Knowledge-Based Systems - Volume 132, 15 September 2017, Pages 47-61
نویسندگان
Yoan Gutiérrez, Sonia Vázquez, Andrés Montoyo,