Topic Ontologies for Arguments

Yamen Ajjour, Johannes Kiesel, Benno Stein, Martin Potthast

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Original language	English
Title of host publication	Findings of the Association for Computational Linguistics: EACL 2023
Place of Publication	Kroatien
Publisher	Association for Computational Linguistics
Pages	1411–1427
DOIs	https://doi.org/10.48550/arXiv.2301.09759
Publication status	Published - 2023

Keywords

@inproceedings{8e6ebeaf5fed47979936fe7c0278215d,

title = "Topic Ontologies for Arguments",

keywords = "acqua, arguana, argument, information retrieval, ir, natural language processing, nlp",

author = "Yamen Ajjour and Johannes Kiesel and Benno Stein and Martin Potthast",

year = "2023",

doi = "10.48550/arXiv.2301.09759",

language = "English",

pages = "1411–1427",

booktitle = "Findings of the Association for Computational Linguistics: EACL 2023",

publisher = "Association for Computational Linguistics",

}

TY - GEN

T1 - Topic Ontologies for Arguments

AU - Ajjour, Yamen

AU - Kiesel, Johannes

AU - Stein, Benno

AU - Potthast, Martin

PY - 2023

Y1 - 2023

KW - acqua

KW - arguana

KW - argument

KW - information retrieval

KW - ir

KW - natural language processing

KW - nlp

U2 - 10.48550/arXiv.2301.09759

DO - 10.48550/arXiv.2301.09759

M3 - Conference contribution

SP - 1411

EP - 1427

BT - Findings of the Association for Computational Linguistics: EACL 2023

PB - Association for Computational Linguistics

CY - Kroatien

ER -