Search Results for author: Giuseppe Riccardi

Found 36 papers, 9 papers with code

What can Speech and Language Tell us About the Working Alliance in Psychotherapy

no code implementations17 Jun 2022 Sebastian P. Bayerl, Gabriel Roccabruna, Shammur Absar Chowdhury, Tommaso Ciulli, Morena Danieli, Korbinian Riedhammer, Giuseppe Riccardi

To the best of our knowledge, this is the first and a novel study to exploit speech and language for characterising working alliance.

Detecting Emotion Carriers by Combining Acoustic and Lexical Representations

no code implementations13 Dec 2021 Sebastian P. Bayerl, Aniruddha Tammewar, Korbinian Riedhammer, Giuseppe Riccardi

However, in this work, we focus on Emotion Carriers (EC) defined as the segments (speech or text) that best explain the emotional state of the narrator ("loss of father", "made me choose").

Emotion Recognition Natural Language Understanding +1

Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism

1 code implementation25 Nov 2021 Juan Manuel Mayor-Torres, Sara Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi

This study is the first to consolidate a more transparent feature-relevance calculation for a successful EEG-based facial emotion recognition using a within-subject-trained CNN in typically-developed and ASD individuals.

EEG EEG Emotion Recognition +2

Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity

1 code implementation18 Jul 2021 Juan Manuel Mayor-Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers, Matthew D. Lerner, Giuseppe Riccardi

This result is consistent with recent neuroscience studies on emotion recognition, which found an association between these band suppressions and the behavioral deficits observed in individuals with ASD.

EEG Emotion Recognition

Emotion Carrier Recognition from Personal Narratives

no code implementations17 Aug 2020 Aniruddha Tammewar, Alessandra Cervone, Giuseppe Riccardi

In this work, we propose a novel task for Narrative Understanding: Emotion Carrier Recognition (ECR).

Emotion Classification Emotion Recognition

Annotation of Emotion Carriers in Personal Narratives

no code implementations LREC 2020 Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi

We are interested in the problem of understanding personal narratives (PN) - spoken or written - recollections of facts, events, and thoughts.

Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?

no code implementations WS 2019 Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi

Possible applications of the method include provision of guidelines that highlight potential implications of using such platforms on users' mental health, and/or support in the analysis of their impact on specific individuals.

An Incremental Turn-Taking Model For Task-Oriented Dialog Systems

2 code implementations28 May 2019 Andrei C. Coman, Koichiro Yoshino, Yukitoshi Murase, Satoshi Nakamura, Giuseppe Riccardi

To identify the point of maximal understanding in an ongoing utterance, we a) implement an incremental Dialog State Tracker which is updated on a token basis (iDST) b) re-label the Dialog State Tracking Challenge 2 (DSTC2) dataset and c) adapt it to the incremental turn-taking experimental scenario.

Modeling user context for valence prediction from narratives

no code implementations9 May 2019 Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi

Automated prediction of valence, one key feature of a person's emotional state, from individuals' personal narratives may provide crucial information for mental healthcare (e. g. early diagnosis of mental diseases, supervision of disease course, etc.).

Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development

1 code implementation27 Jul 2018 Jacopo Gobbi, Evgeny Stepanov, Giuseppe Riccardi

The third contribution is the release of a repository of the algorithms, datasets and recipes for NLU evaluation.

Natural Language Understanding

Coherence Models for Dialogue

1 code implementation21 Jun 2018 Alessandra Cervone, Evgeny Stepanov, Giuseppe Riccardi

Nevertheless, both the original grid and its extensions do not model intents, a crucial aspect that has been studied widely in the literature in connection to dialogue structure.

ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents

1 code implementation COLING 2018 Stefano Mezza, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Riccardi

Dialogue Act (DA) tagging is crucial for spoken language understanding systems, as it provides a general representation of speakers' intents, not bound to a particular dialogue system.

General Classification Spoken Language Understanding

Depression Severity Estimation from Multiple Modalities

no code implementations10 Nov 2017 Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury, Arindam Ghosh, Radu-Laurentiu Vieriu, Nicu Sebe, Giuseppe Riccardi

In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develop automatic methods for the detection of depression.

Functions of Silences towards Information Flow in Spoken Conversation

no code implementations WS 2017 Shammur Absar Chowdhury, Evgeny Stepanov, Morena Danieli, Giuseppe Riccardi

It is also observed that sometimes long silences can be used deliberately to get a forced response from another speaker thus making silence a multi-functional and an important catalyst towards information flow.

Annotating and Modeling Empathy in Spoken Conversations

no code implementations13 May 2017 Firoj Alam, Morena Danieli, Giuseppe Riccardi

The automatic classification system was evaluated on call center conversations where it showed significantly better performance than the baseline.

General Classification

How Interlocutors Coordinate with each other within Emotional Segments?

no code implementations COLING 2016 Firoj Alam, Shammur Absar Chowdhury, Morena Danieli, Giuseppe Riccardi

In this paper, we aim to investigate the coordination of interlocutors behavior in different emotional segments.

Transfer of Corpus-Specific Dialogue Act Annotation to ISO Standard: Is it worth it?

no code implementations LREC 2016 Shammur Absar Chowdhury, Evgeny Stepanov, Giuseppe Riccardi

In this paper we test the utility of the ISO standard through comparative evaluation of the corpus-specific legacy and the semi-automatically transferred DiAML DA annotations on supervised dialogue act classification task.

Classification Dialogue Act Classification +1

Multilevel Annotation of Agreement and Disagreement in Italian News Blogs

no code implementations LREC 2016 Fabio Celli, Giuseppe Riccardi, Firoj Alam

In this paper, we present a corpus of news blog conversations in Italian annotated with gold standard agreement/disagreement relations at message and sentence levels.

The Development of the Multilingual LUNA Corpus for Spoken Language System Porting

no code implementations LREC 2014 Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer

We discuss the challenges of the manual creation of multilingual corpora, as well as present the algorithms for the creation of multilingual SLU via Statistical Machine Translation (SMT).

Machine Translation Speech Synthesis +2

Improving the Recall of a Discourse Parser by Constraint-based Postprocessing

no code implementations LREC 2012 Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, Sara Tonelli

We describe two constraint-based methods that can be used to improve the recall of a shallow discourse parser based on conditional random field chunking.

Chunking Semantic Role Labeling

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