Details
Original language | English |
---|---|
Title of host publication | The Web Conference 2021 |
Subtitle of host publication | Companion of the World Wide Web Conference |
Pages | 669-672 |
Number of pages | 4 |
ISBN (electronic) | 978-1-4503-8313-4 |
Publication status | Published - 19 Apr 2021 |
Externally published | Yes |
Event | World Wide Web Conference (WWW 2021) - Ljubljana, Slovenia Duration: 19 Apr 2021 → 23 Apr 2021 Conference number: 30 |
Abstract
We present ClaimLinker, a Web service and API that links arbitrary text to a knowledge graph of fact-checked claims, offering a novel kind of semantic annotation of unstructured content. Given a text, ClaimLinker matches parts of it to fact-checked claims mined from popular fact-checking sites and integrated into a rich knowledge graph, thus allowing the further exploration of the linked claims and their associations. The application is based on a scalable, fully unsupervised and modular approach that does not require training or tuning and which can serve high quality results at real time (outperforming existing unsupervised methods). This allows its easy deployment for different contexts and application scenarios.
Keywords
- Claim Linking, Claim Retrieval, Fact-checking, Fake News, Knowledge Graphs
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Software
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The Web Conference 2021: Companion of the World Wide Web Conference. 2021. p. 669-672.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - ClaimLinker
T2 - World Wide Web Conference (WWW 2021)
AU - Maliaroudakis, Evangelos
AU - Boland, Katarina
AU - Dietze, Stefan
AU - Todorov, Konstantin
AU - Tzitzikas, Yannis
AU - Fafalios, Pavlos
N1 - Conference code: 30
PY - 2021/4/19
Y1 - 2021/4/19
N2 - We present ClaimLinker, a Web service and API that links arbitrary text to a knowledge graph of fact-checked claims, offering a novel kind of semantic annotation of unstructured content. Given a text, ClaimLinker matches parts of it to fact-checked claims mined from popular fact-checking sites and integrated into a rich knowledge graph, thus allowing the further exploration of the linked claims and their associations. The application is based on a scalable, fully unsupervised and modular approach that does not require training or tuning and which can serve high quality results at real time (outperforming existing unsupervised methods). This allows its easy deployment for different contexts and application scenarios.
AB - We present ClaimLinker, a Web service and API that links arbitrary text to a knowledge graph of fact-checked claims, offering a novel kind of semantic annotation of unstructured content. Given a text, ClaimLinker matches parts of it to fact-checked claims mined from popular fact-checking sites and integrated into a rich knowledge graph, thus allowing the further exploration of the linked claims and their associations. The application is based on a scalable, fully unsupervised and modular approach that does not require training or tuning and which can serve high quality results at real time (outperforming existing unsupervised methods). This allows its easy deployment for different contexts and application scenarios.
KW - Claim Linking
KW - Claim Retrieval
KW - Fact-checking
KW - Fake News
KW - Knowledge Graphs
UR - http://www.scopus.com/inward/record.url?scp=85107676790&partnerID=8YFLogxK
U2 - 10.1145/3442442.3458601
DO - 10.1145/3442442.3458601
M3 - Conference contribution
AN - SCOPUS:85107676790
SP - 669
EP - 672
BT - The Web Conference 2021
Y2 - 19 April 2021 through 23 April 2021
ER -