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2104.04470
Cited By
Did they answer? Subjective acts and intents in conversational discourse
9 April 2021
Elisa Ferracane
Greg Durrett
Junjie Li
K. Erk
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Papers citing
"Did they answer? Subjective acts and intents in conversational discourse"
17 / 17 papers shown
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PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization
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Self-Knowledge Distillation for Learning Ambiguity
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Soyeong Jeong
Sukmin Cho
Jong C. Park
71
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14 Jun 2024
Designing NLP Systems That Adapt to Diverse Worldviews
Claudiu Creanga
Liviu P. Dinu
48
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18 May 2024
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Aida Mostafazadeh Davani
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Dylan K. Baker
Vinodkumar Prabhakaran
74
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16 Apr 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
Preni Golazizian
Ali Omrani
Alireza S. Ziabari
Morteza Dehghani
49
1
0
21 Feb 2024
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
Siyao Peng
Zihang Sun
Sebastian Loftus
Barbara Plank
71
3
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02 Feb 2024
Analyzing Dataset Annotation Quality Management in the Wild
Jan-Christoph Klie
Richard Eckart de Castilho
Iryna Gurevych
88
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16 Jul 2023
Using Natural Language Explanations to Rescale Human Judgments
Manya Wadhwa
Jifan Chen
Junyi Jessy Li
Greg Durrett
88
8
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24 May 2023
You Are What You Annotate: Towards Better Models through Annotator Representations
Naihao Deng
Xinliang Frederick Zhang
Siyang Liu
Winston Wu
Lu Wang
Rada Mihalcea
63
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0
24 May 2023
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Valentina Pyatkin
Frances Yung
Merel C. J. Scholman
Reut Tsarfaty
Ido Dagan
Vera Demberg
125
12
0
03 Apr 2023
Sources of Noise in Dialogue and How to Deal with Them
Derek Chen
Zhou Yu
62
2
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06 Dec 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
93
100
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04 Nov 2022
Investigating Reasons for Disagreement in Natural Language Inference
Nan-Jiang Jiang
M. Marneffe
72
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07 Sep 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
102
26
0
10 May 2022
Learning with Different Amounts of Annotation: From Zero to Many Labels
Shujian Zhang
Chengyue Gong
Eunsol Choi
81
32
0
09 Sep 2021
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