Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format.
Mike Schaekermann|Graeme Beaton|Minahz Habib|Andrew Lim|Kate Larson|Edith Law
| Anthology ID: | DBLP:conf/www/SchaekermannBHL19 |
|---|---|
| Volume: | Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1131-1137 |
| URL: | https://doi.org/10.1145/3308560.3317085 |
| DOI: | https://doi.org/10.1145/3308560.3317085 |
| DBLP: | conf/www/SchaekermannBHL19 |
| BibTeX: |
@inproceedings{schaekermann-2019-capturing,
author = {Mike Schaekermann and
Graeme Beaton and
Minahz Habib and
Andrew Lim and
Kate Larson and
Edith Law},
editor = {Sihem Amer-Yahia and
Mohammad Mahdian and
Ashish Goel and
Geert-Jan Houben and
Kristina Lerman and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format}},
booktitle = {{Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {1131--1137},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308560.3317085},
doi = {https://doi.org/10.1145/3308560.3317085}
}