TY - GEN
T1 - Cross-document Coreference Resolution over Predicted Mentions
AU - Cattan, Arie
AU - Eirew, Alon
AU - Stanovsky, Gabriel
AU - Joshi, Mandar
AU - Dagan, Ido
PY - 2021/8/1
Y1 - 2021/8/1
N2 - Coreference resolution has been mostly investigated within a single document scope, showing impressive progress in recent years based on end-to-end models. However, the more challenging task of cross-document (CD) coreference resolution remained relatively under-explored, with the few recent models applied only to gold mentions. Here, we introduce the first end-to-end model for CD coreference resolution from raw text, which extends the prominent model for within-document coreference to the CD setting. Our model achieves competitive results for event and entity coreference resolution on gold mentions. More importantly, we set first baseline results, on the standard ECB+ dataset, for CD coreference resolution over predicted mentions. Further, our model is simpler and more efficient than recent CD coreference resolution systems, while not using any external resources.
AB - Coreference resolution has been mostly investigated within a single document scope, showing impressive progress in recent years based on end-to-end models. However, the more challenging task of cross-document (CD) coreference resolution remained relatively under-explored, with the few recent models applied only to gold mentions. Here, we introduce the first end-to-end model for CD coreference resolution from raw text, which extends the prominent model for within-document coreference to the CD setting. Our model achieves competitive results for event and entity coreference resolution on gold mentions. More importantly, we set first baseline results, on the standard ECB+ dataset, for CD coreference resolution over predicted mentions. Further, our model is simpler and more efficient than recent CD coreference resolution systems, while not using any external resources.
UR - https://www.mendeley.com/catalogue/a849069e-f753-398e-be48-201226ca42e7/
UR - https://www.mendeley.com/catalogue/a849069e-f753-398e-be48-201226ca42e7/
U2 - https://doi.org/10.18653/v1/2021.findings-acl.453
DO - https://doi.org/10.18653/v1/2021.findings-acl.453
M3 - Conference contribution
T3 - ACL Anthology
SP - 5100
EP - 5107
BT - Findings of the Association for Computational Linguistics:
A2 - Navigli, Roberto
A2 - Li, Wenjie
A2 - Xia, Fei
A2 - Zong, Chengqing
T2 - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Y2 - 1 August 2021 through 6 August 2021
ER -