Results 211 to 220 of about 46,987 (245)

Semantic Relatedness Approach for Named Entity Disambiguation

2010
Natural Language is a mean to express and discuss about concepts, objects, events, i.e., it carries semantic contents. One of the ultimate aims of Natural Language Processing techniques is to identify the meaning of the text, providing effective ways to make a proper linkage between textual references and their referents, that is, real world objects ...
Gentile, Anna Lisa, Zhang, Ziqi, Xia, Lei, Iria, José   +3 more
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Clique-based semantic kernel with application to semantic relatedness

Natural Language Engineering, 2015
AbstractThe emergence of knowledge repositories in a variety of domains provides a valuable opportunity for semantic interpretation of high dimensional datasets. Previous researches investigate the use of concept instead of word as a core semantic feature for incorporating semantic knowledge from an ontology into the representation model of documents ...
A. H. JADIDINEJAD, F. MAHMOUDI, M. R. MEYBODI   +2 more
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Challenges in computing semantic relatedness for large semantic graphs

Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14, 2014
The research presented in this paper is part of an ongoing work to define semantic relatedness measures to any given semantic graph. These measures are based on a prior definition of a family of proximity algorithms that computes the semantic relatedness between pairs of concepts, and are parametrized by a semantic graph and a set of weighted ...
Teresa Costa, José Paulo Leal
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Lexical Semantic Relatedness for Twitter Analytics

2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015
Existing work in the semantic relatedness literature has already considered various information sources such as WordNet, Wikipedia and Web search engines to identify the semantic relatedness between two words. We will show that existing semantic relatedness measures might not be directly applicable to microblogging content such as tweets due to i) the ...
Yue Feng, Hossein Fani, Ebrahim Bagheri, Jelena Jovanovic   +3 more
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Keyphrase extraction based on semantic relatedness

9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010
Keyphrase extraction is a fundamental research task in natural language processing and text mining. A limitation of previous keyphrase extraction methods based on semantic analysis is that the acquisition of the semantic features within phrases is restricted by the constructed thesaurus and language.
Fei Xie, Xindong Wu, Xuegang Hu
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Semantic textual relatedness: A hybrid method

2016 4th International Conference on Cyber and IT Service Management, 2016
Semantic relatedness measure play an important roles in Natural Language Processing (NLP) tasks. By using the knowledge bases and current methods, the semantic relatedness measure could be done. This time, we implement the hybrid method in measuring semantic relatedness between the pair of word. Hybrid method is one of the most popular method that used
Muhammad Fauzan Razandi, Moch Arif Bijaksana, Danang Junaedi, Eldita Febrian Selfiendi, Rakhmad Indra Permadi   +4 more
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WordNet Gloss for Semantic Concept Relatedness

2016
Semantic lexical similarity and relatedness are important issues in natural language processing (NLP). Similarity and relatedness are not the same, while they are very closely related. To date, in many works these two issues are mixed up which harm system’s effectiveness.
Moch Arif Bijaksana, Rakhmad Indra Permadi   +1 more
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Estimating Semantic Relatedness in Source Code

ACM Transactions on Software Engineering and Methodology, 2015
Contemporary software engineering tools exploit semantic relations between individual code terms to aid in code analysis and retrieval tasks. Such tools employ word similarity methods, often used in natural language processing (nlp), to analyze the textual content of source code.
Anas Mahmoud, Gary Bradshaw
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Measuring semantic relatedness based on ontology

International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012
The need of determining the degree of semantic similarity/relatedness between two concepts within ontology is becoming an increasingly important task in the field of Information Retrieval. Semantic similarity is only a special case of semantic relatedness. Although a great attention has been paid to design semantic similarity methods based on ontology,
null Lin Zhang, null Xiaojie Zheng, null Jie Hu   +2 more
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Diffusion-based models for semantic relatedness

2020
The assessment of semantic relatedness for a given pair of entities in a knowledge graph has become a critical step in a wide variety of artificial intelligence tasks, including but not restricted to fields such as machine learning, natural language processing, and information retrieval.
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