Extractive Elementary Discourse Units for Improving Abstractive Summarization.

Ye Xiong|Teeradaj Racharak|Minh Le Nguyen


Anthology ID:DBLP:conf/sigir/XiongRN22
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:2675-2679
URL:https://doi.org/10.1145/3477495.3531916
DOI:https://doi.org/10.1145/3477495.3531916
DBLP:conf/sigir/XiongRN22
BibTeX:
@inproceedings{xiong-2022-extractive, author = {Ye Xiong and Teeradaj Racharak and Minh Le Nguyen}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Extractive Elementary Discourse Units for Improving Abstractive Summarization}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2675--2679}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531916}, doi = {https://doi.org/10.1145/3477495.3531916} }