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}
}