Thematically Reinforced Explicit Semantic Analysis

Autor: Haralambous, Yannis, Klyuev, Vitaly

Publikováno v: IJCLA vol. 4, no. 1, Jan.-Jun. 2013, pp. 79--94

We present an extended, thematically reinforced version of Gabrilovich and Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic information through the category structure of Wikipedia. For this we first define a notion of categoric

Externí odkaz: http://arxiv.org/abs/1405.4364

Query Expansion: Term Selection using the EWC Semantic Relatedness Measure

Autor: Klyuev, Vitaly, Haralambous, Yannis

Publikováno v: Proceedings of 1st International Workshop on Advances in Semantic Information Retrieval (ASIR'11), Szczecin, Poland, September 18-21, 2011

This paper investigates the efficiency of the EWC semantic relatedness measure in an ad-hoc retrieval task. This measure combines the Wikipedia-based Explicit Semantic Analysis measure, the WordNet path measure and the mixed collocation index. In the

Externí odkaz: http://arxiv.org/abs/1108.4052

Editors' introduction to the special issue on 'Applications in information technology ': towards better human - centric solutions in information technology applications

Autor: Klyuev, Vitaly, Pyshkin, Evgeny, Vazhenin, Alexander

Publikováno v: Informatica (Ljubljana)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3825::fd2b31ac872b37004c3545b491c912ee
http://www.dlib.si/details/URN:NBN:SI:doc-5YIFXX3M

Thematically Reinforced Explicit Semantic Analysis

Autor: HARALAMBOUS , Yannis, KLYUEV , Vitaly

Publikováno v: CICLING 2013 : 14th International Conference on Intelligent Text Processing and Computational Linguistics
CICLING 2013 : 14th International Conference on Intelligent Text Processing and Computational Linguistics, Mar 2013, Samos, Greece. Bahri Publications, 4, No 1, Computational Linguistics and Applications (ISSN 0976-0962), pp.79-94, 2013
CICLING 2013 : 14th International Conference on Intelligent Text Processing and Computational Linguistics, Mar 2013, Samos, Greece. pp.79-94

We present an extended, thematically reinforced version of Gabrilovich and Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic information through the category structure of Wikipedia. For this we first define a notion of categoric

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3250686a03b808ed9141ababdab42c5c

Tool to Retrieve Less-Filtered Information from the Internet.

Autor: Nemoto, Yuta¹ (AUTHOR) m5231153@u-aizu.ac.jp, Klyuev, Vitaly¹ (AUTHOR), Spyrou, Evangelos (AUTHOR), Mylonas, Phivos (AUTHOR)

Publikováno v: Information (2078-2489). Feb2021, Vol. 12 Issue 2, p65-65. 1p.