Train-o-matic: Large-scale supervised word sense disambiguation in multiple languages without manual training data
Annotating large numbers of sentences with senses is the heaviest requirement of current
Word Sense Disambiguation. We present Train-O-Matic, a language independent method …
Word Sense Disambiguation. We present Train-O-Matic, a language independent method …
Supervised corpus-based methods for WSD
L Màrquez, G Escudero, D Martínez… - Word sense …, 2006 - Springer
168 Màrquez, Escudero, Martínez, and Rigau the correct interpretation should be selected,
among a set of alternatives, in a particular context (eg, word choice selection in speech …
among a set of alternatives, in a particular context (eg, word choice selection in speech …
Combining knowledge-and corpus-based word-sense-disambiguation methods
In this paper we concentrate on the resolution of the lexical ambiguity that arises when a
given word has several different meanings. This specific task is commonly referred to as …
given word has several different meanings. This specific task is commonly referred to as …
[HTML][HTML] Train-o-matic: Supervised word sense disambiguation with no (manual) effort
Abstract Word Sense Disambiguation (WSD) is the task of associating the correct meaning
with a word in a given context. WSD provides explicit semantic information that is beneficial …
with a word in a given context. WSD provides explicit semantic information that is beneficial …
[PDF][PDF] Unsupervised WSD based on automatically retrieved examples: The importance of bias
E Agirre, D Martinez - Proceedings of the 2004 Conference on …, 2004 - aclanthology.org
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense
Disambiguation (WSD). We have applied the “WordNet monosemous relatives” method to …
Disambiguation (WSD). We have applied the “WordNet monosemous relatives” method to …
[PDF][PDF] Using WordNet for Concept-based document indexing in information retrieval
Concept-based document indexing deals with representing documents by means of
semantic entities, the concepts, rather than lexical entities, the keywords. In this paper we …
semantic entities, the concepts, rather than lexical entities, the keywords. In this paper we …
Semi-supervised approach for Persian word sense disambiguation
M Mahmoodvand, M Hourali - 2017 7th International …, 2017 - ieeexplore.ieee.org
Word-sense disambiguation is one of the key concepts in natural language processing. The
main goal of a language is to present a specific concept to the audience. This concept is …
main goal of a language is to present a specific concept to the audience. This concept is …
Uma abordagem híbrida relacional para a desambiguação lexical de sentido na tradução automática
L Specia - 2007 - teses.usp.br
A comunicação multilíngue é uma tarefa cada vez mais imperativa no cenário atual de
grande disseminação de informações em diversas línguas. Nesse contexto, são de grande …
grande disseminação de informações em diversas línguas. Nesse contexto, são de grande …
[PDF][PDF] Automatic acquisition of sense examples using exretriever
Automatic Acquisition of Sense Examples using ExRetriever Page 1 Automatic Acquisition of
Sense Examples using ExRetriever Montse Cuadros, Jordi Atserias, Mauro Castillo, German …
Sense Examples using ExRetriever Montse Cuadros, Jordi Atserias, Mauro Castillo, German …
[PDF][PDF] An empirical study for automatic acquisition of topic signatures
The main goal of this work is to compare different methods for building Topic Signatures,
which are vectors of weighted words acquired from large corpora. We used two different …
which are vectors of weighted words acquired from large corpora. We used two different …