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07/28/2023
When to generate hedges in peer-tutoring interactions
This paper explores the application of machine learning techniques to pr...
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06/26/2023
How About Kind of Generating Hedges using End-to-End Neural Models?
Hedging is a strategy for softening the impact of a statement in convers...
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06/18/2023
"You might think about slightly revising the title": identifying hedges in peer-tutoring interactions
Hedges play an important role in the management of conversational intera...
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01/25/2023
Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives
Disfluencies (i.e. interruptions in the regular flow of speech), are ubi...
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10/31/2022
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
The topic of summarization evaluation has recently attracted a surge of ...
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08/24/2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Research on Automatic Story Generation (ASG) relies heavily on human and...
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07/17/2022
Representation Learning of Image Schema
Image schema is a recurrent pattern of reasoning where one entity is map...
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03/31/2022
A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences
Some exciting new approaches to neural architectures for the analysis of...
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12/02/2021
InfoLM: A New Metric to Evaluate Summarization Data2Text Generation
Assessing the quality of natural language generation systems through hum...
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10/18/2021
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews
se of machine learning for automatic analysis of job interview videos ha...
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10/07/2021
Beam Search with Bidirectional Strategies for Neural Response Generation
Sequence-to-sequence neural networks have been widely used in language-b...
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09/20/2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
Several recent studies on dyadic human-human interactions have been done...
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08/31/2021
Improving Multimodal fusion via Mutual Dependency Maximisation
Multimodal sentiment analysis is a trending area of research, and the mu...
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08/27/2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
A new metric to evaluate text generation based on deep contextualized e...
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05/06/2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
Learning disentangled representations of textual data is essential for m...
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04/09/2021
Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?
A dialogue is successful when there is alignment between the speakers, a...
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09/23/2020
The importance of fillers for text representations of speech transcripts
While being an essential component of spoken language, fillers (e.g."um"...
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09/23/2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Sequence labelling tasks like Dialog Act and Emotion/Sentiment identific...
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08/17/2020
Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures
Communicative gestures and speech prosody are tightly linked. Our object...
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04/20/2020
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019
In this paper, we consider the detection of a decrease of engagement by ...
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03/25/2020
Heavy-tailed Representations, Text Polarity Classification Data Augmentation
The dominant approaches to text representation in natural language rely ...
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02/21/2020
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
The task of predicting dialog acts (DA) based on conversational dialog i...
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02/20/2020
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
The task of predicting dialog acts (DA) based on conversational dialog i...
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09/19/2019
Slices of Attention in Asynchronous Video Job Interviews
The impact of non verbal behaviour in a hiring decision remains an open ...
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08/29/2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
The task of predicting fine grained user opinion based on spontaneous sp...
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07/25/2019
HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
New technologies drastically change recruitment techniques. Some researc...
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02/26/2019
A multimodal movie review corpus for fine-grained opinion mining
In this paper, we introduce a set of opinion annotations for the POM mov...
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06/20/2018
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields
In this paper, the main goal is to detect a movie reviewer's opinion usi...
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03/22/2018