D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation [PDF]
, 2014 Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context.
Abualhaija, Sallam +1 more
core
Disambiguation of Isolated Manipuri Tonal Contrast Word Pairs Using Acoustic Features
ACM Trans. Asian Low Resour. Lang. Inf. Process.Manipuri is a low-resource, Tibeto-Burman tonal language spoken mainly in Manipur, a northeastern state of India. Tone identification is crucial to speech comprehension for tonal languages, where tone defines the word’s meaning.
Thiyam Susma Devi, Pradip K. Das
semanticscholar +1 more source
The DIGMAP geo-temporal web gazetteer service [PDF]
, 2009 This paper presents the DIGMAP geo-temporal Web gazetteer service, a system providing access to names of places, historical periods, and associated geo-temporal information.
Borbinha, José +3 more
core +1 more source
Semantic Heterogeneity Issues on the Web
, 2012 The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers.
Gracia, Jorge, Mena, Eduardo
core
Topic modeling for entity linking using keyphrase [PDF]
, 2014 This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel approach in order to provide new relevant elements to the model.
Mehdizadeh Naderi, Ali +2 more
core
Homograph recognition algorithm based on Euclidean metric
Научно-технический вестник информационных технологий, механики и оптикиThe problem of resolving the uncertainties associated with homonymy for the Chechen language has become especially relevant after the creation of speech synthesis systems. The main disadvantage of speech synthesizers in the Chechen language are errors in
E. S. Izrailova +6 more
doaj +1 more source
Word Sense Disambiguation Pipeline Framework for Low Resourced Morphologically Rich Languages
, 2023 Mosima Anna Masethe +3 more
openalex +1 more source
Large-Scale information extraction from textual definitions through deep syntactic and semantic analysis [PDF]
, 2015 We present DEFIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we leverage syntactic dependencies to reduce data sparsity, then ...
DELLI BOVI, CLAUDIO +2 more
core +1 more source
Dictionaries merger for text expansion in question answering
, 2004 This paper presents an original way to add new data in a reference dictionary from several other lexical resources, without loosing any consistence. This operation is carried in order to get lexical information classified by the sense of the entry.
Jacquemin, Bernard
core +3 more sources
Capturing lexical variation in MT evaluation using automatically built sense-cluster inventories [PDF]
, 2009 The strict character of most of the existing Machine Translation (MT) evaluation metrics does not permit them to capture lexical variation in translation.
Apidianaki, Marianna +2 more
core +1 more source