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Guiding attention in Sequence-to-sequence models for Dialogue Act
  prediction
v1v2 (latest)

Guiding attention in Sequence-to-sequence models for Dialogue Act prediction

AAAI Conference on Artificial Intelligence (AAAI), 2020
20 February 2020
Pierre Colombo
E. Chapuis
Matteo Manica
Emmanuel Vignon
Giovanna Varni
Chloé Clavel
    3DV
ArXiv (abs)PDFHTML

Papers citing "Guiding attention in Sequence-to-sequence models for Dialogue Act prediction"

29 / 29 papers shown
Switchboard-Affect: Emotion Perception Labels from Conversational Speech
Switchboard-Affect: Emotion Perception Labels from Conversational Speech
Amrit Romana
Jaya Narain
Tien Dung Tran
Andrea Davis
Jason Fong
Ramya Rasipuram
Vikramjit Mitra
192
1
0
14 Oct 2025
Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
Sahana Ramnath
Anurag Mudgil
Brihi Joshi
Skyler Hallinan
Xiang Ren
257
1
0
26 May 2025
Synthetic Audio Helps for Cognitive State Tasks
Synthetic Audio Helps for Cognitive State TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Adil Soubki
John Murzaku
Peter Zeng
Owen Rambow
269
1
0
10 Feb 2025
Towards Social AI: A Survey on Understanding Social Interactions
Towards Social AI: A Survey on Understanding Social Interactions
Sangmin Lee
Minzhi Li
Bolin Lai
Wenqi Jia
Fiona Ryan
...
Ozgur Kara
Bikram Boote
Weiyan Shi
Diyi Yang
James M. Rehg
383
13
0
05 Sep 2024
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Arian Askari
Roxana Petcu
Chuan Meng
Mohammad Aliannejadi
Amin Abolghasemi
Evangelos Kanoulas
Suzan Verberne
515
20
0
18 Feb 2024
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaMLDRL
324
2
0
21 Oct 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence
  Labeling
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
Zifeng Cheng
Qingyu Zhou
Zhiwei Jiang
Xuemin Zhao
Yunbo Cao
Qing Gu
243
5
0
16 Jul 2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in
  Benchmarks
Towards More Robust NLP System Evaluation: Handling Missing Scores in BenchmarksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anas Himmi
Ekhine Irurozki
Nathan Noiry
Nathan Huet
Pierre Colombo
402
13
0
17 May 2023
Joint Modelling of Spoken Language Understanding Tasks with Integrated
  Dialog History
Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog HistoryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Siddhant Arora
Hayato Futami
E. Tsunoo
Brian Yan
Shinji Watanabe
337
4
0
01 May 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Unsupervised Layer-wise Score Aggregation for Textual OOD DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
735
17
0
20 Feb 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
The Glass Ceiling of Automatic Evaluation in Natural Language GenerationInternational Joint Conference on Natural Language Processing (IJCNLP), 2022
Pierre Colombo
Maxime Peyrard
Nathan Noiry
Robert West
Pablo Piantanida
423
13
0
31 Aug 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation
  of Story Generation
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story GenerationInternational Conference on Computational Linguistics (COLING), 2022
Cyril Chhun
Pierre Colombo
Chloé Clavel
Fabian M. Suchanek
706
81
0
24 Aug 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaMLDRL
435
22
0
07 May 2022
CogIntAc: Modeling the Relationships between Intention, Emotion and
  Action in Interactive Process from Cognitive Perspective
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive PerspectiveIEEE International Joint Conference on Neural Network (IJCNN), 2022
Wei Peng
Yue Hu
Lei Shen
Luxi Xing
Yajing Sun
273
5
0
07 May 2022
Towards End-to-End Integration of Dialog History for Improved Spoken
  Language Understanding
Towards End-to-End Integration of Dialog History for Improved Spoken Language UnderstandingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Vishal Sunder
Samuel Thomas
H. Kuo
Jatin Ganhotra
Brian Kingsbury
Eric Fosler-Lussier
VLM
305
11
0
11 Apr 2022
A survey of neural models for the automatic analysis of conversation:
  Towards a better integration of the social sciences
A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences
Chloé Clavel
Matthieu Labeau
Justine Cassell
279
0
0
31 Mar 2022
Modeling Intention, Emotion and External World in Dialogue Systems
Modeling Intention, Emotion and External World in Dialogue SystemsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Wei Peng
Yue Hu
Luxi Xing
Lei Shen
Xingsheng Zhang
Yajing Sun
289
11
0
14 Feb 2022
What are the best systems? New perspectives on NLP Benchmarking
What are the best systems? New perspectives on NLP Benchmarking
Pierre Colombo
Nathan Noiry
Ekhine Irurozki
Nathan Huet
594
49
0
08 Feb 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
Pierre Colombo
Chloe Clave
Pablo Piantanida
444
51
0
02 Dec 2021
Speaker and Time-aware Joint Contextual Learning for Dialogue-act
  Classification in Counselling Conversations
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling ConversationsWeb Search and Data Mining (WSDM), 2021
Ganeshan Malhotra
Abdul Waheed
Aseem Srivastava
Md. Shad Akhtar
Tanmoy Chakraborty
223
52
0
12 Nov 2021
Speaker Turn Modeling for Dialogue Act Classification
Speaker Turn Modeling for Dialogue Act ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Zihao He
Leili Tavabi
Kristina Lerman
M. Soleymani
319
46
0
10 Sep 2021
Code-switched inspired losses for generic spoken dialog representations
Code-switched inspired losses for generic spoken dialog representationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
E. Chapuis
Pierre Colombo
Matthieu Labeau
Chloe Clave
436
13
0
27 Aug 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Automatic Text Evaluation through the Lens of Wasserstein BarycentersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Pierre Colombo
Guillaume Staerman
Chloé Clavel
Pablo Piantanida
548
44
0
27 Aug 2021
What Helps Transformers Recognize Conversational Structure? Importance
  of Context, Punctuation, and Labels in Dialog Act Recognition
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
Piotr Żelasko
R. Pappagari
Najim Dehak
212
15
0
05 Jul 2021
A Novel Estimator of Mutual Information for Learning to Disentangle
  Textual Representations
A Novel Estimator of Mutual Information for Learning to Disentangle Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Pierre Colombo
Chloé Clavel
Pablo Piantanida
AAMLDRL
382
55
0
06 May 2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed
  Regions
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
Guillaume Staerman
Pavlo Mozharovskyi
Pierre Colombo
Stéphan Clémenccon
Florence dÁlché-Buc
OOD
867
18
0
23 Mar 2021
The importance of fillers for text representations of speech transcripts
The importance of fillers for text representations of speech transcriptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tanvi Dinkar
Pierre Colombo
Matthieu Labeau
Chloé Clavel
371
25
0
23 Sep 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Hierarchical Pre-training for Sequence Labelling in Spoken DialogFindings (Findings), 2020
E. Chapuis
Pierre Colombo
Matteo Manica
Matthieu Labeau
Chloé Clavel
513
64
0
23 Sep 2020
Heavy-tailed Representations, Text Polarity Classification & Data
  Augmentation
Heavy-tailed Representations, Text Polarity Classification & Data AugmentationNeural Information Processing Systems (NeurIPS), 2020
Hamid Jalalzai
Pierre Colombo
Chloé Clavel
Éric Gaussier
Giovanna Varni
Emmanuel Vignon
Anne Sabourin
287
29
0
25 Mar 2020
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