Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey. ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. In Wanxiang Che, Ekaterina Shutova, editors, Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - System Demonstrations, Abu Dhabi, UAE, December 7-11, 2022. pages 200-213, Association for Computational Linguistics, 2022. [doi]
@inproceedings{MurthyLKBKJBWHD22,
title = {ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts},
author = {Sonia K. Murthy and Kyle Lo and Daniel King and Chandra Bhagavatula and Bailey Kuehl and Sophie Johnson and Jonathan Borchardt and Daniel S. Weld and Tom Hope and Doug Downey},
year = {2022},
url = {https://aclanthology.org/2022.emnlp-demos.20},
researchr = {https://researchr.org/publication/MurthyLKBKJBWHD22},
cites = {0},
citedby = {0},
pages = {200-213},
booktitle = {Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - System Demonstrations, Abu Dhabi, UAE, December 7-11, 2022},
editor = {Wanxiang Che and Ekaterina Shutova},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-41-8},
}