SUTLER: update summarizER based on latent topics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F08%3A00502513" target="_blank" >RIV/49777513:23520/08:00502513 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SUTLER: update summarizER based on latent topics
Original language description
We describe the development of our summarizer which is based on latent semantic analysis (LSA). The classical LSA-based summarization model was improved by Iterative Residual Rescaling (IRR). The article propose the update summarization component which determines redundancy and novelty of each topic discovered by LSA. Moreover, we modified the sentence selection component in order to prevent from inner summary redundancy.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
AF - Documentation, librarianship, work with information
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů