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Fromm et al., 2021 - Google Patents

Diversity aware relevance learning for argument search

Fromm et al., 2021

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Document ID
13377076569436044253
Author
Fromm M
Berrendorf M
Obermeier S
Seidl T
Faerman E
Publication year
Publication venue
European Conference on Information Retrieval

External Links

Snippet

In this work, we focus on retrieving relevant arguments for a query claim covering diverse aspects. State-of-the-art methods rely on explicit mappings between claims and premises and thus cannot utilize extensive available collections of premises without laborious and …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30522—Query processing with adaptation to user needs
    • G06F17/3053—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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