Segmented Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094425" target="_blank" >RIV/00216224:14330/17:00094425 - 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
Segmented Retrieval
Original language description
Modern text retrieval systems employ text segmentation during the indexing of documents. We show that, rather than returning the segments to the user, significant improvements are achieved on the semantic text similarity task by combining all segments from a single document into one result with an aggregate similarity score. Following an analysis of the SemEval-2016 and 2017 task 3 datasets, we design a segment decay weighting method that achieves state the art results on subtask B and can be readily implemented into existing inverted-index-based search engines.
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TD03000295" target="_blank" >TD03000295: Intelligent software for semantic text search</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Number of pages
20
Place of publication
Brno
Publisher/client name
Technologická agentura České republiky
Version
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