IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction.

Ambreen Nazir|Yuan Rao


Anthology ID:DBLP:conf/sigir/NazirR22
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:1588-1598
URL:https://doi.org/10.1145/3477495.3532085
DOI:https://doi.org/10.1145/3477495.3532085
DBLP:conf/sigir/NazirR22
BibTeX:
@inproceedings{nazir-2022-iaotp, author = {Ambreen Nazir and Yuan Rao}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {1588--1598}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3532085}, doi = {https://doi.org/10.1145/3477495.3532085} }