Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?

Longquan Jiang|Ricardo Usbeck


Anthology ID:DBLP:conf/sigir/JiangU22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3209-3218
URL:https://doi.org/10.1145/3477495.3531751
DOI:https://doi.org/10.1145/3477495.3531751
DBLP:conf/sigir/JiangU22
BibTeX:
@inproceedings{jiang-2022-knowledge, author = {Longquan Jiang and Ricardo Usbeck}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {3209--3218}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531751}, doi = {https://doi.org/10.1145/3477495.3531751} }