We propose a CWSD (Combined Word Sense Disambiguation) algorithm for the automatic annotation of structured and semi-structured data sources. Rather than being targeted to textual data sources like most of the traditional WSD algorithms found in the literature, our algorithm can exploit information coming from the structure of the sources together with the lexical knowledge associated with the terms (elements of the schemata)
We present a pilot study of a web-based annotation of words with senses. The annotated senses come f...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
The knowledge acquisition bottleneck problem dramatically hampers the creation of sense-annotated da...
We propose a CWSD (Combined Word Sense Disambiguation) algorithm for the automatic annotation of str...
In this article we present CWSD (Combined Word Sense Disambiguation) a method and a software tool fo...
In this article we present CWSD (Combined Word Sense Disambiguation) a method and a software tool fo...
In this paper Word Sense Disambiguation (WSD) issue in the context of data integration is outlined a...
The focus of data integration systems is on producing a comprehensive global schema successfully int...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
The well-known problem of knowledge acquisition is one of the biggest issues in Word Sense Disambigu...
Abstract: The paper presents a method for word sense disambiguation (WSD) based on parallel corpora....
One of the main obstacles to high-performance Word Sense Disambiguation (WSD) is the knowledge acqui...
We present ALA, a tool for the automatic lexical annotation (i.e. annotation w.r.t. a thesaurus/lexi...
Word Sense Disambiguation (WSD) can be assisted by taking advantage of the metadata embedded in the ...
We present a pilot study of a web-based annotation of words with senses. The annotated senses come f...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
The knowledge acquisition bottleneck problem dramatically hampers the creation of sense-annotated da...
We propose a CWSD (Combined Word Sense Disambiguation) algorithm for the automatic annotation of str...
In this article we present CWSD (Combined Word Sense Disambiguation) a method and a software tool fo...
In this article we present CWSD (Combined Word Sense Disambiguation) a method and a software tool fo...
In this paper Word Sense Disambiguation (WSD) issue in the context of data integration is outlined a...
The focus of data integration systems is on producing a comprehensive global schema successfully int...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
The well-known problem of knowledge acquisition is one of the biggest issues in Word Sense Disambigu...
Abstract: The paper presents a method for word sense disambiguation (WSD) based on parallel corpora....
One of the main obstacles to high-performance Word Sense Disambiguation (WSD) is the knowledge acqui...
We present ALA, a tool for the automatic lexical annotation (i.e. annotation w.r.t. a thesaurus/lexi...
Word Sense Disambiguation (WSD) can be assisted by taking advantage of the metadata embedded in the ...
We present a pilot study of a web-based annotation of words with senses. The annotated senses come f...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
The knowledge acquisition bottleneck problem dramatically hampers the creation of sense-annotated da...