Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs

Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin A. Malykh, Alexander Panchenko


Anthology ID:
2023.konvens-main.16
Volume:
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Month:
September
Year:
2023
Address:
Ingolstadt, Germany
Editors:
Munir Georges, Aaricia Herygers, Annemarie Friedrich, Benjamin Roth
Venue:
KONVENS
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
155–164
Language:
URL:
https://aclanthology.org/2023.konvens-main.16
DOI:
Bibkey:
Cite (ACL):
Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin A. Malykh, and Alexander Panchenko. 2023. Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), pages 155–164, Ingolstadt, Germany. Association for Computational Lingustics.
Cite (Informal):
Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs (Salnikov et al., KONVENS 2023)
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PDF:
https://aclanthology.org/2023.konvens-main.16.pdf