First Experiments with Relevant Documents Selection for Blind Relevance Feedback in Spoken Document Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922934" target="_blank" >RIV/49777513:23520/14:43922934 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_29.pdf" target="_blank" >http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_29.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11581-8_29" target="_blank" >10.1007/978-3-319-11581-8_29</a>
Alternative languages
Result language
angličtina
Original language name
First Experiments with Relevant Documents Selection for Blind Relevance Feedback in Spoken Document Retrieval
Original language description
This paper presents our first experiments aimed at the automatic selection of the relevant documents for the blind relevance feedback method in speech information retrieval. Usually the relevant documents are selected only by simply determining the firstN documents to be relevant. We consider this approach to be insufficient and we would try in this paper to outline the possibilities of the dynamical selection of the relevant documents for each query depending on the content of the retrieved documentsinstead of just blindly defining the number of the relevant documents to be used for the blind relevance feedback in advance. We have performed initial experiments with the application of the score normalization techniques used in the speaker identification task, which was successfully used in the multi-label classification task for finding the "correct" topics of a newspaper article in the output of a generative classifier. The experiments have shown promising results, therefore they wi
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer, 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014, Proceedings
ISBN
978-3-319-11580-1
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
235-242
Publisher name
Springer
Place of publication
Heidelberg
Event location
Novi Sad, Serbia
Event date
Oct 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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