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"I'd rather just go to bed": Understanding Indirect Answers

"I'd rather just go to bed": Understanding Indirect Answers

7 October 2020
Annie Louis
Dan Roth
Filip Radlinski
ArXiv (abs)PDFHTML

Papers citing ""I'd rather just go to bed": Understanding Indirect Answers"

27 / 27 papers shown
Understand the Implication: Learning to Think for Pragmatic Understanding
Understand the Implication: Learning to Think for Pragmatic UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
S. Sravanthi
Kishan Maharaj
Sravani Gunnu
Abhijit Mishra
Pushpak Bhattacharyya
ReLMLRM
189
0
0
16 Jun 2025
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
Md Nazmus Sakib
LRM
142
1
0
16 Jun 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
399
3
0
02 May 2025
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Bolei Ma
Yuting Li
Wei Zhou
Ziwei Gong
Wenshu Fan
Katja Jasinskaja
Annemarie Friedrich
Julia Hirschberg
Frauke Kreuter
Barbara Plank
ELMLRM
393
15
0
17 Feb 2025
Are LLMs good pragmatic speakers?
Are LLMs good pragmatic speakers?
Mingyue Jian
Siddharth Narayanaswamy
183
5
0
03 Nov 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task
  Haystack
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu
Qinyuan Ye
Xiang Ren
319
15
0
23 Jul 2024
Retrieval-Augmented Conversational Recommendation with Prompt-based
  Semi-Structured Natural Language State Tracking
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking
Sara Kemper
Justin Cui
Kai Dicarlantonio
Kathy Lin
Danjie Tang
Anton Korikov
Scott Sanner
203
21
0
25 May 2024
Interpreting Answers to Yes-No Questions in Dialogues from Multiple
  Domains
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
Zijie Wang
Farzana Rashid
Eduardo Blanco
172
2
0
25 Apr 2024
Controllable Decontextualization of Yes/No Question and Answers into
  Factual Statements
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements
Lingbo Mo
B. Fetahu
Oleg Rokhlenko
S. Malmasi
206
1
0
18 Jan 2024
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics
  Capabilities
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities
S. Sravanthi
Meet Doshi
Tankala Pavan Kalyan
Rudra Murthy
Pushpak Bhattacharyya
Mary Dabre
205
49
0
13 Jan 2024
Interpreting Answers to Yes-No Questions in User-Generated Content
Interpreting Answers to Yes-No Questions in User-Generated ContentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shivam Mathur
Keun Hee Park
Dhivya Chinnappa
Saketh Kotamraju
Eduardo Blanco
144
0
0
24 Oct 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang
Md Mosharaf Hossain
Shivam Mathur
Terry Cruz Melo
Kadir Bulut Ozler
...
Jacob Quintero
MohammadHossein Rezaei
Shreya Nupur Shakya
Md Nayem Uddin
Eduardo Blanco
187
3
0
20 Oct 2023
Pre-Training to Learn in Context
Pre-Training to Learn in ContextAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuxian Gu
Li Dong
Furu Wei
Shiyu Huang
CLIPLRMReLM
352
54
0
16 May 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLMLRM
363
17
0
16 Feb 2023
Resolving Indirect Referring Expressions for Entity Selection
Resolving Indirect Referring Expressions for Entity SelectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Mohammad Javad Hosseini
Filip Radlinski
Silvia Pareti
Annie Louis
183
2
0
21 Dec 2022
(QA)$^2$: Question Answering with Questionable Assumptions
(QA)2^22: Question Answering with Questionable AssumptionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Najoung Kim
Phu Mon Htut
Sam Bowman
Jackson Petty
398
49
0
20 Dec 2022
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
268
2
0
24 Oct 2022
N-best Response-based Analysis of Contradiction-awareness in Neural
  Response Generation Models
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation ModelsSIGDIAL Conferences (SIGDIAL), 2022
Shiki Sato
Reina Akama
Hiroki Ouchi
Ryoko Tokuhisa
Jun Suzuki
Kentaro Inui
134
1
0
04 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data
Few-shot Adaptation Works with UnpredicTable DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
458
6
0
01 Aug 2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in
  Low-Resource NLP
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLPInternational Conference on Learning Representations (ICLR), 2022
Yufei Wang
Jiayi Zheng
Can Xu
Xiubo Geng
Tao Shen
Chongyang Tao
Daxin Jiang
VLMMoE
196
3
0
21 Jun 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-ExpertsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
295
16
0
25 May 2022
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In ContextNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
672
573
0
29 Oct 2021
Investigating Robustness of Dialog Models to Popular Figurative Language
  Constructs
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Harsh Jhamtani
Varun Gangal
Eduard H. Hovy
Taylor Berg-Kirkpatrick
139
24
0
01 Oct 2021
Towards Handling Unconstrained User Preferences in Dialogue
Towards Handling Unconstrained User Preferences in Dialogue
S. Pandey
Svetlana Stoyanchev
R. Doddipatla
93
2
0
17 Sep 2021
"It doesn't look good for a date": Transforming Critiques into
  Preferences for Conversational Recommendation Systems
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Victor S. Bursztyn
Jennifer Healey
Nedim Lipka
Eunyee Koh
Doug Downey
Larry Birnbaum
124
4
0
15 Sep 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
633
194
0
18 Apr 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation
  for Few-shot Learning
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xisen Jin
Bill Yuchen Lin
Mohammad Rostami
Xiang Ren
BDLCLL
294
44
0
18 Apr 2021
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