scholarly journals Adapting Gloss Vector Semantic Relatedness Measure for Semantic Similarity Estimation: An Evaluation in the Biomedical Domain

2014 ◽  
pp. 129-145 ◽  
Author(s):  
Ahmad Pesaranghader ◽  
Azadeh Rezaei ◽  
Ali Pesaranghader
Keyword(s):  
Semantic Similarity ◽  
Semantic Relatedness ◽  
Biomedical Domain ◽  
Similarity Estimation

scholarly journals Neural sentence embedding models for semantic similarity estimation in the biomedical domain

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kathrin Blagec ◽  
Hong Xu ◽  
Asan Agibetov ◽  
Matthias Samwald
Keyword(s):  
Semantic Similarity ◽  
Biomedical Domain ◽  
Similarity Estimation

scholarly journals Enabling semantic similarity estimation across multiple ontologies: An evaluation in the biomedical domain

2012 ◽  
Vol 45 (1) ◽  
pp. 141-155 ◽  
Author(s):  
David Sánchez ◽  
Albert Solé-Ribalta ◽  
Montserrat Batet ◽  
Francesc Serratosa
Keyword(s):  
Semantic Similarity ◽  
Biomedical Domain ◽  
Similarity Estimation ◽  
Multiple Ontologies

Semantic Similarity/Relatedness for Cross Language Plagiarism Detection

2016 ◽  
Vol 1 (2) ◽  
pp. 371 ◽  
Author(s):  
Hanane Ezzikouri ◽  
Mohammed Erritali ◽  
Mohamed Oukessou
Keyword(s):  
Semantic Similarity ◽  
Semantic Relatedness ◽  
Application Programming Interface ◽  
Plagiarism Detection ◽  
French And English ◽  
Unique Interpretation ◽  
Application Programming ◽  
Cross Language ◽  
Similarity Distance ◽  
Programming Interface

<p>Generally utterances in natural language are highly ambiguous, and a unique interpretation can usually be determined only by taking into account the context in the utterance occurred. Automatically determining the correct sense of a polysemous word is a complicated problem especially in multilingual corpuses. This paper presents an application programming interface for several Semantic Relatedness/Similarity metrics measuring semantic  similarity/distance  between multilingual words  and  concepts, in order to use it after for sentences and paragraphs in Cross Language Plagiarism Detection (CLPD); using WordNet for the English-French and English-Arabic multilingual plagiarism cases.</p>

Emotion Mining Using Semantic Similarity

2018 ◽  
Vol 9 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Rafiya Jan ◽  
Afaq Alam Khan
Keyword(s):  
Semantic Similarity ◽  
Semantic Relatedness ◽  
Semantic Features ◽  
Emotion Detection ◽  
Emotion Classification ◽  
Textual Data ◽  
Different Types ◽  
Distributional Semantic Models ◽  
Affective Information

Social networks are considered as the most abundant sources of affective information for sentiment and emotion classification. Emotion classification is the challenging task of classifying emotions into different types. Emotions being universal, the automatic exploration of emotion is considered as a difficult task to perform. A lot of the research is being conducted in the field of automatic emotion detection in textual data streams. However, very little attention is paid towards capturing semantic features of the text. In this article, the authors present the technique of semantic relatedness for automatic classification of emotion in the text using distributional semantic models. This approach uses semantic similarity for measuring the coherence between the two emotionally related entities. Before classification, data is pre-processed to remove the irrelevant fields and inconsistencies and to improve the performance. The proposed approach achieved the accuracy of 71.795%, which is competitive considering as no training or annotation of data is done.

scholarly journals Semantic Similarity Estimation Using Vector Symbolic Architectures

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 109120-109132
Author(s):  
Job Isaias Quiroz-Mercado ◽  
Ricardo Barron-Fernandez ◽  
Marco Antonio Ramirez-Salinas
Keyword(s):  
Semantic Similarity ◽  
Similarity Estimation
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