Adapting Coreference Resolution for Processing Violent Death Narratives

Ankith Uppunda, Susan Cochran, Jacob Foster, Alina Arseniev-Koehler, Vickie Mays, Kai-Wei Chang


Abstract
Coreference resolution is an important compo-nent in analyzing narrative text from admin-istrative data (e.g., clinical or police sources).However, existing coreference models trainedon general language corpora suffer from poortransferability due to domain gaps, especiallywhen they are applied to gender-inclusive datawith lesbian, gay, bisexual, and transgender(LGBT) individuals. In this paper, we an-alyzed the challenges of coreference resolu-tion in an exemplary form of administrativetext written in English: violent death nar-ratives from the USA’s Centers for DiseaseControl’s (CDC) National Violent Death Re-porting System. We developed a set of dataaugmentation rules to improve model perfor-mance using a probabilistic data programmingframework. Experiments on narratives froman administrative database, as well as existinggender-inclusive coreference datasets, demon-strate the effectiveness of data augmentationin training coreference models that can betterhandle text data about LGBT individuals.
Anthology ID:
2021.naacl-main.361
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2021
Address:
Online
Editors:
Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tur, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4553–4559
Language:
URL:
https://aclanthology.org/2021.naacl-main.361
DOI:
10.18653/v1/2021.naacl-main.361
Bibkey:
Cite (ACL):
Ankith Uppunda, Susan Cochran, Jacob Foster, Alina Arseniev-Koehler, Vickie Mays, and Kai-Wei Chang. 2021. Adapting Coreference Resolution for Processing Violent Death Narratives. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4553–4559, Online. Association for Computational Linguistics.
Cite (Informal):
Adapting Coreference Resolution for Processing Violent Death Narratives (Uppunda et al., NAACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.naacl-main.361.pdf
Video:
 https://aclanthology.org/2021.naacl-main.361.mp4
Data
GAP Coreference DatasetGICorefMAP