Matches in ScholarlyData for { ?s ?p ?o. }
- 619 keyword "Machine Translation, SpeechToSpeech Translation".
- 619 keyword "Semantics".
- 619 title "Lexical Resources for Semantics Extraction".
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- item-1 hasContent rajat-mohanty.
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- item-2 hasContent pushpak-bhattacharyya.
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- 62 creator hiroyuki-shinnou.
- 62 creator minoru-sasaki.
- 62 type InProceedings.
- 62 label "Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size".
- 62 sameAs 62.
- 62 abstract "Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the similarity matrix corresponding to the data set. Therefore, it is not practical to use spectral clustering for a large data set. To overcome this problem, we propose the method to reduce the similarity matrix size. First, using k-means, we obtain a clustering result for the given data set. From each cluster, we pick up some data, which are near to the central of the cluster. We take these data as one data. We call this data set as committee . Data except for committees remain one data. For these data, we construct the similarity matrix. Definitely, the size of this similarity matrix is reduced so much that we can perform spectral clustering using the reduced similarity matrix.".
- 62 hasAuthorList authorList.
- 62 hasTopic Linguistics.
- 62 isPartOf proceedings.
- 62 keyword "Acquisition, Machine Learning".
- 62 keyword "Document Classification, Text categorisation".
- 62 keyword "Text mining".
- 62 title "Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size".
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- item-1 hasContent hiroyuki-shinnou.
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- item-2 hasContent minoru-sasaki.
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- 620 creator manny-rayner.
- 620 creator maria-georgescul.
- 620 creator nikos-tsourakis.
- 620 creator pierrette-bouillon.
- 620 type InProceedings.
- 620 label "Building Mobile Spoken Dialogue Applications Using Regulus".
- 620 sameAs 620.
- 620 abstract "Regulus is an Open Source platform that supports construction of rule-based medium-vocabulary spoken dialogue applications. It has already been used to build several substantial speech-enabled applications, including NASA s Clarissa procedure navigator and Geneva University s MedSLT medical speech translator. System like these would be far more useful if they were available on a hand-held device, rather than, as with the present version, on a laptop. In this paper we describe the Open Source framework we have developed, which makes it possible to run Regulus applications on generally available mobile devices, using a distributed client-server architecture that offers transparent and reliable integration with different types of ASR systems. We describe the architecture, an implemented calendar application prototype hosted on a mobile device, and an evaluation. The evaluation shows that performance on the mobile device is as good as performance on a normal desktop PC.".
- 620 hasAuthorList authorList.
- 620 hasTopic Linguistics.
- 620 isPartOf proceedings.
- 620 keyword "Dialogue & Natural Interactivity".
- 620 keyword "Grammars".
- 620 keyword "Speech recognition and understanding".
- 620 title "Building Mobile Spoken Dialogue Applications Using Regulus".
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- item-1 hasContent nikos-tsourakis.
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- item-2 hasContent maria-georgescul.
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- item-3 hasContent pierrette-bouillon.
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- item-4 hasContent manny-rayner.
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- 621 creator anne-vilnat.
- 621 creator christelle-ayache.
- 621 creator isabelle-robba.
- 621 creator patrick-paroubek.
- 621 type InProceedings.
- 621 label "EASY, Evaluation of Parsers of French: what are the Results?".
- 621 sameAs 621.
- 621 abstract "This paper presents EASY, which has been the first campaign evaluating syntactic parsers on all the common syntactic phenomena and a large set of dependency relations. The language analyzed was French. During this campaign, an annotation scheme has been elaborated with the different actors: participants and corpus providers; then a corpus made of several syntactic materials has been built and annotated: it reflects a great variety of linguistic styles (from literature to oral transcriptions, and from newspapers to medical texts). Both corpus and annotation scheme are here briefly presented. Moreover, evaluation measures are explained and detailed results are given. The results of the 15 parsers coming from 12 teams are analyzed. To conclude, a first experiment aiming to combine the outputs of the different systems is shown.".
- 621 hasAuthorList authorList.
- 621 hasTopic Linguistics.
- 621 isPartOf proceedings.
- 621 keyword "Corpus (creation, annotation, etc.)".
- 621 keyword "Evaluation methodologies".
- 621 keyword "Parsing Systems".
- 621 title "EASY, Evaluation of Parsers of French: what are the Results?".
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- item-1 hasContent patrick-paroubek.
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