TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment.

Haoyu Dong|Haochen Wang|Anda Zhou|Yue Hu


Anthology ID:DBLP:conf/wsdm/0001WZH24
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:181-189
URL:https://doi.org/10.1145/3616855.3635777
DOI:https://doi.org/10.1145/3616855.3635777
DBLP:conf/wsdm/0001WZH24
BibTeX:
@inproceedings{dong-2024-ttcquali, author = {Haoyu Dong and Haochen Wang and Anda Zhou and Yue Hu}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {181--189}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635777}, doi = {https://doi.org/10.1145/3616855.3635777} }