Keyphrase Generation: A Multi-Aspect Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405619" target="_blank" >RIV/00216208:11320/19:10405619 - isvavai.cz</a>
Result on the web
<a href="https://fruct.org/publications/fruct25/files/Can.pdf" target="_blank" >https://fruct.org/publications/fruct25/files/Can.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Keyphrase Generation: A Multi-Aspect Survey
Original language description
Extractive keyphrase generation research has been around since the nineties, but the more advanced abstractive approach based on the encoder-decoder framework and sequence-to-sequence learning has been explored only recently. In fact, more than a dozen of abstractive methods have been proposed in the last three years, producing meaningful keyphrases and achieving state-of-the-art scores. In this survey, we examine various aspects of the extractive keyphrase generation methods and focus mostly on the more recent abstractive methods that are based on neural networks. We pay particular attention to the mechanisms that have driven the perfection of the later. A huge collection of scientific article metadata and the corresponding keyphrases is created and released for the research community. We also present various keyphrase generation and text summarization research patterns and trends of the last two decades.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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/EF16_027%2F0008495" target="_blank" >EF16_027/0008495: International Mobility of Researchers at Charles University</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 25th Conference of Open Innovations Association FRUCT 2019
ISBN
978-952-69244-0-3
ISSN
2305-7254
e-ISSN
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Number of pages
10
Pages from-to
85-94
Publisher name
Finnish-Russian University Cooperation in Telecommunications
Place of publication
Helsinki, Finland
Event location
Helsinki, Finland
Event date
Nov 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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