Details
| Original language | English |
|---|---|
| Title of host publication | Findings of the Association for Computational Linguistics: EACL 2023 |
| Place of Publication | Kroatien |
| Pages | 1411–1427 |
| Publication status | Published - 2023 |
Keywords
- acqua, arguana, argument, information retrieval, ir, natural language processing, nlp
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Topic Ontologies for Arguments. / Ajjour, Yamen; Kiesel, Johannes; Stein, Benno et al.
Findings of the Association for Computational Linguistics: EACL 2023. Kroatien, 2023. p. 1411–1427.
Findings of the Association for Computational Linguistics: EACL 2023. Kroatien, 2023. p. 1411–1427.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Ajjour, Y, Kiesel, J, Stein, B & Potthast, M 2023, Topic Ontologies for Arguments. in Findings of the Association for Computational Linguistics: EACL 2023. Kroatien, pp. 1411–1427. https://doi.org/10.48550/arXiv.2301.09759
Ajjour, Y., Kiesel, J., Stein, B., & Potthast, M. (2023). Topic Ontologies for Arguments. In Findings of the Association for Computational Linguistics: EACL 2023 (pp. 1411–1427). https://doi.org/10.48550/arXiv.2301.09759
Ajjour Y, Kiesel J, Stein B, Potthast M. Topic Ontologies for Arguments. In Findings of the Association for Computational Linguistics: EACL 2023. Kroatien. 2023. p. 1411–1427 doi: 10.48550/arXiv.2301.09759
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@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",
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Download
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
CY - Kroatien
ER -