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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2023.konvens-main.16.pdf