For UFRGS’s participation on CLEF’s Robust task, our aim was to compare retrieval of plain documents to retrieval using information on word senses. The experimental run which used word-sense disambiguation (WSD) consisted in indexing the synset codes of the senses which had scores higher than a predefined threshold. The documents in both baseline and WSD runs were indexed by Zettair. The metric for comparing queries and documents was OkapiBM25. The results of the experiments show that only 47 topics were helped by the strategy, while 103 had their performances worsened. A statistical t-test has shown that the experimental run which did not use WSD information significantly outperformed the one which did. A deeper analysis of our results and...
This paper describes the participation of the REINA research group at CLEF 2009 Robust-WSD Task. We ...
The problems of word sense disambiguation and document indexing for information retrieval have been ...
Current Word Sense Disambiguation systems show an extremely poor performance on low fre- quent sense...
This task was meant to compare the results of two different retrieval techniques: the first one was ...
This task was meant to compare the results of two different retrieval techniques: the first one was ...
The Robust-WSD at CLEF 2009 aims at exploring the contribution of Word Sense Disambiguation to monol...
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 ...
This report describes our approach to the Robust- Word Sense Disambiguation task. We applied the sam...
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 ...
This paper presents the results of the experiments conducted at the University of Bari for the Ad Ho...
Word Sense Disambiguation (WSD) is traditionally considered an AI-hard problem. In fact, a breakthro...
Abstract. This paper describes a method developed for the Robust- Word Sense Disambiguation task at ...
This year we have participated in the first edition of Robust WSD task with the aim of investigating...
Although always present in text, word sense ambiguity only recently became regarded as a problem to ...
With state-of-the-art systems having finally attained estimated human performance, Word Sense Disamb...
This paper describes the participation of the REINA research group at CLEF 2009 Robust-WSD Task. We ...
The problems of word sense disambiguation and document indexing for information retrieval have been ...
Current Word Sense Disambiguation systems show an extremely poor performance on low fre- quent sense...
This task was meant to compare the results of two different retrieval techniques: the first one was ...
This task was meant to compare the results of two different retrieval techniques: the first one was ...
The Robust-WSD at CLEF 2009 aims at exploring the contribution of Word Sense Disambiguation to monol...
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 ...
This report describes our approach to the Robust- Word Sense Disambiguation task. We applied the sam...
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 ...
This paper presents the results of the experiments conducted at the University of Bari for the Ad Ho...
Word Sense Disambiguation (WSD) is traditionally considered an AI-hard problem. In fact, a breakthro...
Abstract. This paper describes a method developed for the Robust- Word Sense Disambiguation task at ...
This year we have participated in the first edition of Robust WSD task with the aim of investigating...
Although always present in text, word sense ambiguity only recently became regarded as a problem to ...
With state-of-the-art systems having finally attained estimated human performance, Word Sense Disamb...
This paper describes the participation of the REINA research group at CLEF 2009 Robust-WSD Task. We ...
The problems of word sense disambiguation and document indexing for information retrieval have been ...
Current Word Sense Disambiguation systems show an extremely poor performance on low fre- quent sense...