Semantic similarity based on corpus statistics and lexical taxonomy
JJ Jiang, DW Conrath - arxiv preprint cmp-lg/9709008, 1997 - arxiv.org
This paper presents a new approach for measuring semantic similarity/distance between
words and concepts. It combines a lexical taxonomy structure with corpus statistical …
words and concepts. It combines a lexical taxonomy structure with corpus statistical …
Recent advances in methods of lexical semantic relatedness–a survey
Measuring lexical semantic relatedness is an important task in Natural Language
Processing (NLP). It is often a prerequisite to many complex NLP tasks. Despite an …
Processing (NLP). It is often a prerequisite to many complex NLP tasks. Despite an …
[PDF][PDF] Lexical chains as representations of context for the detection and correction of malapropisms
G Hirst, D St-Onge - WordNet: An electronic lexical database, 1998 - researchgate.net
Natural language utterances are, in general, highly ambiguous, and a unique interpretation
can usually be determined only by taking into account the constraining influence of the …
can usually be determined only by taking into account the constraining influence of the …
Determining semantic similarity among entity classes from different ontologies
Semantic similarity measures play an important role in information retrieval and information
integration. Traditional approaches to modeling semantic similarity compute the semantic …
integration. Traditional approaches to modeling semantic similarity compute the semantic …
An overview on xml semantic disambiguation from unstructured text to semi-structured data: Background, applications, and ongoing challenges
J Tekli - IEEE Transactions on Knowledge and Data …, 2016 - ieeexplore.ieee.org
Since the last two decades, XML has gained momentum as the standard for web information
management and complex data representation. Also, collaboratively built semi-structured …
management and complex data representation. Also, collaboratively built semi-structured …
Semantically enhanced information retrieval: An ontology-based approach
Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …
(IR) are based on keywords, and therefore provide limited capabilities to capture the …
Semantic similarity methods in wordnet and their application to information retrieval on the web
G Varelas, E Voutsakis, P Raftopoulou… - Proceedings of the 7th …, 2005 - dl.acm.org
Semantic Similarity relates to computing the similarity between concepts which are not
lexicographically similar. We investigate approaches to computing semantic similarity by …
lexicographically similar. We investigate approaches to computing semantic similarity by …
[KNYGA][B] Enabling semantic web services: the web service modeling ontology
D Fensel, H Lausen, A Polleres, J De Bruijn… - 2006 - books.google.com
Service-oriented computing has become one of the predominant factors in current IT
research and development. Web services seem to be the middleware solution of the future …
research and development. Web services seem to be the middleware solution of the future …
[KNYGA][B] Encyclopedia of Library and Information Science: Volume 30-Taiwan: Library Services and Development in the Republic of China to Toronto: University of …
A Kent, H Lancour, JE Daily - 1980 - books.google.com
" The Encyclopedia of Library and Information Science provides an outstanding resource in
33 published volumes with 2 helpful indexes. This thorough reference set--written by 1300 …
33 published volumes with 2 helpful indexes. This thorough reference set--written by 1300 …
Exploiting hierarchical domain structure to compute similarity
The notion of similarity between objects finds use in many contexts, for example, in search
engines, collaborative filtering, and clustering. Objects being compared often are modeled …
engines, collaborative filtering, and clustering. Objects being compared often are modeled …