Lexical annotation is the explicit inclusion of the \u201cmeaning" of a data source element according to a lexical resource. Accuracy of semi-automatic lexical annotator tools is poor on real-world schemata due to the abundance of non-dictionary compound nouns. It follows that a large set of relationships among different schemata is discovered, including a great amount of false positive relationships. In this paper we propose a new method for the annotation of non- dictionary compound nouns, which draws its inspiration from works in the natural languagedisambiguation area. The method extends the lexical annotation module of the MOMIS data integration system
The NTCIR1 TMREC group called for participation of the term recognition task which is a part of NTCI...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sou...
International audienceAn important trend in recent works on lexical semantics has been the developme...
Lexical annotation is the explicit inclusion of the “meaning" of a data source element according to ...
The focus of data integration systems is on producing a comprehensive global schema successfully int...
© 2005 Jeremy Nicholson.We present a method for detecting compound nominalisations in open data, and...
We present a tagged corpus for English noun compound interpretation and describe the method used to ...
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...
Schema matching is the problem of finding relationships among concepts across data sources that are ...
We propose a CWSD (Combined Word Sense Disambiguation) algorithm for the automatic annotation of str...
Semantic relations have been studied for decades without yet reaching consensus on the set of these ...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sou...
Semantic relations have been studied for decades without yet reaching consensus on the set of these ...
The goal of this paper is to provide an annotation scheme for compounds based on generative lexicon ...
The NTCIR1 TMREC group called for participation of the term recognition task which is a part of NTCI...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sou...
International audienceAn important trend in recent works on lexical semantics has been the developme...
Lexical annotation is the explicit inclusion of the “meaning" of a data source element according to ...
The focus of data integration systems is on producing a comprehensive global schema successfully int...
© 2005 Jeremy Nicholson.We present a method for detecting compound nominalisations in open data, and...
We present a tagged corpus for English noun compound interpretation and describe the method used to ...
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...
Schema matching is the problem of finding relationships among concepts across data sources that are ...
We propose a CWSD (Combined Word Sense Disambiguation) algorithm for the automatic annotation of str...
Semantic relations have been studied for decades without yet reaching consensus on the set of these ...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sou...
Semantic relations have been studied for decades without yet reaching consensus on the set of these ...
The goal of this paper is to provide an annotation scheme for compounds based on generative lexicon ...
The NTCIR1 TMREC group called for participation of the term recognition task which is a part of NTCI...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sou...
International audienceAn important trend in recent works on lexical semantics has been the developme...