A Multi-Granularity Game-Theoretic Approach to Weakly Supervised Temporal Article Grounding.

Shuyi He|Vo Ngoc Anh|Qingchao Kong|Washington Cunha|Alistair Moffat|Hao Wen|Pu Zou|Song Zhou|Qingchao Kong|Washington Cunha


Anthology ID:DBLP:conf/sigir/HeWZZK26
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:3781-3786
URL:https://doi.org/10.1145/3805712.3809835
DOI:https://doi.org/10.1145/3805712.3809835
DBLP:conf/sigir/HeWZZK26
BibTeX:
@inproceedings{he-2026-multigranularity, author = {Shuyi He and Vo Ngoc Anh and Qingchao Kong and Washington Cunha and Alistair Moffat and Hao Wen and Pu Zou and Song Zhou and Qingchao Kong and Washington Cunha}, 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 = {{A Multi-Granularity Game-Theoretic Approach to Weakly Supervised Temporal Article Grounding}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3781--3786}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809835}, doi = {https://doi.org/10.1145/3805712.3809835} }