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Extracting and Connecting Scientific Knowledge from Texts

Hecking, Tobias (2021) Extracting and Connecting Scientific Knowledge from Texts. Wissensaustauschworkshop "Maschinelles Lernen VII", 11.-13.10.2021, Köln.

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This work explores and evaluates text and graph mining methods for open domain concept and relation discovery in scientific literature. First results indicate that several different approaches have to be combined to detect a sufficient amount of concepts and meaningful relationships in an open domain corpus.

Item URL in elib:https://elib.dlr.de/147096/
Document Type:Conference or Workshop Item (Speech)
Title:Extracting and Connecting Scientific Knowledge from Texts
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hecking, TobiasUNSPECIFIEDhttps://orcid.org/0000-0003-0833-7989
Date:October 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Literature-based Discovery, Text Mining, Information Extraction, Knowledge Graphs
Event Title:Wissensaustauschworkshop "Maschinelles Lernen VII"
Event Location:Köln
Event Type:Workshop
Event Dates:11.-13.10.2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > Intelligent and Distributed Systems
Institute for Software Technology
Deposited By: Hecking, Tobias
Deposited On:14 Dec 2021 14:24
Last Modified:21 Dec 2021 10:22

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  • Extracting and Connecting Scientific Knowledge from Texts. (deposited 14 Dec 2021 14:24) [Currently Displayed]

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