Question Answering Fit for Purpose: A Perspective From Natural Language Processing and User Modeling.

Cécile Paris


Anthology ID:DBLP:conf/sigir/Paris26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2
URL:https://doi.org/10.1145/3805712.3809406
DOI:https://doi.org/10.1145/3805712.3809406
DBLP:conf/sigir/Paris26
BibTeX:
@inproceedings{paris-2026-question, author = {C\'{e}cile Paris}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Question Answering Fit for Purpose: A Perspective From Natural Language Processing and User Modeling}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {2}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809406}, doi = {https://doi.org/10.1145/3805712.3809406} }