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[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference
  Annotation with LLMs

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs

31 January 2024
Rebecca M. M. Hicke
David M. Mimno
ArXivPDFHTML

Papers citing "[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs"

6 / 6 papers shown
Title
LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
Kangda Wei
Xi Shi
Jonathan Tong
Sai Ramana Reddy
Anandhavelu Natarajan
R. Jain
Aparna Garimella
Ruihong Huang
AILaw
52
0
0
18 Feb 2025
Generating Visual Stories with Grounded and Coreferent Characters
Generating Visual Stories with Grounded and Coreferent Characters
Danyang Liu
Mirella Lapata
Frank Keller
17
2
0
20 Sep 2024
Says Who? Effective Zero-Shot Annotation of Focalization
Says Who? Effective Zero-Shot Annotation of Focalization
Rebecca M. M. Hicke
Yuri Bizzoni
Pascale Feldkamp
R. Kristensen-Mclachlan
56
0
0
17 Sep 2024
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le
Fan Bai
Alan Ritter
29
12
0
07 Oct 2022
F-coref: Fast, Accurate and Easy to Use Coreference Resolution
F-coref: Fast, Accurate and Easy to Use Coreference Resolution
Shon Otmazgin
Arie Cattan
Yoav Goldberg
KELM
37
21
0
09 Sep 2022
LingMess: Linguistically Informed Multi Expert Scorers for Coreference
  Resolution
LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
Shon Otmazgin
Arie Cattan
Yoav Goldberg
LRM
40
36
0
25 May 2022
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