@inproceedings{kalbaliyev-sirts-2024-narrative,
title = "On Narrative Question Answering Skills",
author = "Kalbaliyev, Emil and
Sirts, Kairit",
editor = "Duh, Kevin and
Gomez, Helena and
Bethard, Steven",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.naacl-short.73",
doi = "10.18653/v1/2024.naacl-short.73",
pages = "814--820",
abstract = "Narrative Question Answering is an important task for evaluating and improving reading comprehension abilities in both humans and machines. However, there is a lack of consensus on the skill taxonomy that would enable systematic and comprehensive assessment and learning of the various aspects of Narrative Question Answering. Existing task-level skill views oversimplify the multidimensional nature of tasks, while question-level taxonomies face issues in evaluation and methodology. To address these challenges, we introduce a more inclusive skill taxonomy that synthesizes and redefines narrative understanding skills from previous taxonomies and includes a generation skill dimension from the answering perspective.",
}
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%0 Conference Proceedings
%T On Narrative Question Answering Skills
%A Kalbaliyev, Emil
%A Sirts, Kairit
%Y Duh, Kevin
%Y Gomez, Helena
%Y Bethard, Steven
%S Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F kalbaliyev-sirts-2024-narrative
%X Narrative Question Answering is an important task for evaluating and improving reading comprehension abilities in both humans and machines. However, there is a lack of consensus on the skill taxonomy that would enable systematic and comprehensive assessment and learning of the various aspects of Narrative Question Answering. Existing task-level skill views oversimplify the multidimensional nature of tasks, while question-level taxonomies face issues in evaluation and methodology. To address these challenges, we introduce a more inclusive skill taxonomy that synthesizes and redefines narrative understanding skills from previous taxonomies and includes a generation skill dimension from the answering perspective.
%R 10.18653/v1/2024.naacl-short.73
%U https://aclanthology.org/2024.naacl-short.73
%U https://doi.org/10.18653/v1/2024.naacl-short.73
%P 814-820
Markdown (Informal)
[On Narrative Question Answering Skills](https://aclanthology.org/2024.naacl-short.73) (Kalbaliyev & Sirts, NAACL 2024)
ACL
- Emil Kalbaliyev and Kairit Sirts. 2024. On Narrative Question Answering Skills. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), pages 814–820, Mexico City, Mexico. Association for Computational Linguistics.