[PDF][PDF] A survey of text similarity approaches
Measuring the similarity between words, sentences, paragraphs and documents is an
important component in various tasks such as information retrieval, document clustering …
important component in various tasks such as information retrieval, document clustering …
[LIBRO][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
[PDF][PDF] WordNet:: Similarity-Measuring the Relatedness of Concepts.
T Pedersen, S Patwardhan, J Michelizzi - AAAI, 2004 - cdn.aaai.org
WordNet:: Similarity is a freely available software package that makes it possible to measure
the semantic similarity or relatedness between a pair of concepts (or word senses). It …
the semantic similarity or relatedness between a pair of concepts (or word senses). It …
[HTML][HTML] Measures of semantic similarity and relatedness in the biomedical domain
Measures of semantic similarity between concepts are widely used in Natural Language
Processing. In this article, we show how six existing domain-independent measures can be …
Processing. In this article, we show how six existing domain-independent measures can be …
Description and evaluation of semantic similarity measures approaches
T Slimani - arxiv preprint arxiv:1310.8059, 2013 - arxiv.org
In recent years, semantic similarity measure has a great interest in Semantic Web and
Natural Language Processing (NLP). Several similarity measures have been developed …
Natural Language Processing (NLP). Several similarity measures have been developed …
Directional distributional similarity for lexical inference
Distributional word similarity is most commonly perceived as a symmetric relation. Yet,
directional relations are abundant in lexical semantics and in many Natural Language …
directional relations are abundant in lexical semantics and in many Natural Language …
Sentiment analysis: A literature survey
S Mukherjee, P Bhattacharyya - arxiv preprint arxiv:1304.4520, 2013 - arxiv.org
Our day-to-day life has always been influenced by what people think. Ideas and opinions of
others have always affected our own opinions. The explosion of Web 2.0 has led to …
others have always affected our own opinions. The explosion of Web 2.0 has led to …
[PDF][PDF] Towards an iterative reinforcement approach for simultaneous document summarization and keyword extraction
Text summarization is the process of creating a compressed version of a given document
that delivers the main topic of the document. Keyword extraction is the process of extracting …
that delivers the main topic of the document. Keyword extraction is the process of extracting …
SyMSS: A syntax-based measure for short-text semantic similarity
J Oliva, JI Serrano, MD Del Castillo… - Data & Knowledge …, 2011 - Elsevier
Sentence and short-text semantic similarity measures are becoming an important part of
many natural language processing tasks, such as text summarization and conversational …
many natural language processing tasks, such as text summarization and conversational …
[PDF][PDF] Maximizing semantic relatedness to perform word sense disambiguation
T Pedersen, S Banerjee… - University of Minnesota …, 2005 - academia.edu
This article presents a method of word sense disambiguation that assigns a target word the
sense that is most related to the senses of its neighboring words. We explore the use of …
sense that is most related to the senses of its neighboring words. We explore the use of …