Skip to main content
Språkbanken Text is a part of Språkbanken.

Program and accepted papers

Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments (RaPID-3 @ LREC)

The proceedings were published at the LREC2020 workshop site at the end of May 2020.

The proceedings can be also found here and optimized (less space) here .

The RaPID-3 proceedings, ISBN: 979-10-95546-45-0

(Long) Papers for the 2 oral presentation sessions

  • Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. Elif Eyigoz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco, Adolfo M. Garcia, Sabine Skodda, Jan Rusz, Elmar Nöth and Guillermo Cecchi.
  • Predicting Self-Reported Affect from Speech Acoustics and Language. Chelsea Chandler, Peter W. Foltz, Jian Cheng, Alex S. Cohen, Terje B. Holmlund and Brita Elvevåg.
  • The RiMotivAzione Dialogue Corpus - Analysing Medical Discourse to Model a Digital Physiotherapist. Francesca Alloatti, Andrea Bolioli, Alessio Bosca and Mariafrancesca Guadalupi.
  • Automatic Quantitative Prediction of Severity in Fluent Aphasia Using Sentence Representation Similarity. Katherine Ann Dunfield and Günter Neumann.
  • Linguistic Markers of Anorexia Nervosa: Preliminary Data from a Prospective Observational Study. Giulia Minori, Gloria Gagliardi, Vittoria Cuteri, Fabio Tamburini, Elisabetta Malaspina, Paola Gualandi, Francesca Rossi, Filomena Moscano, Valentina Francia and Antonia Parmeggiani.
  • What Difference Does it Make? Early Dementia Detection Using the Semantic and Phonemic Verbal Fluency Task. Hali Lindsay, Johannes Tröger, Jan Alexandersson and Alexander König.

Papers for the posters’ session

  • Toward Characterizing the Language of Adults with Autism in Collaborative Discourse. Christine Yang, Emily Prud'hommeaux, Laura B. Silverman and Allison Canfield.
  • Automatic Classification of Primary Progressive Aphasia Patients Using Lexical and Acoustic Features. Sunghye Cho, Naomi Nevler, Sanjana Shellikeri, Sharon Ash, Mark Liberman and Murray Grossman.
  • Affective Speech for Alzheimer’s Dementia Recognition. Fasih Haider, Sofia de la Fuente, Pierre Albert and Saturnino Luz.
  • Individual Mandibular Motor Actions estimated from Speech Articulation Features. Andrés Gómez-Rodellar, Athanasios Tsanas, Pedro Gómez-Vilda, Agustín Álvarez-Marquina and Daniel Palacios-Alonso.
  • Digital Eavesdropper – Acoustic Speech Characteristics as Markers of Exacerbations in COPD Patients. Julia Merkus, Ferdy Hubers, Catia Cucchiarini and Helmer Strik.
  • Latent Feature Generation with Adversarial Learning for Aphasia Classification. Anna Vechkaeva and Günter Neumann.
  • Automated Analysis of Discourse Coherence in Schizophrenia: Approximation of Manual Measures. Galina Ryazanskaya and Mariya Khudyakova.
  • The Mind-It Corpus: a Longitudinal Corpus of Electronic Messages Written by Older Adults with Incipient Alzheimer’s Disease and Clinically Normal Volunteers. Olga Seminck, Louise-Amélie Cougnon, Bernard Hanseeuw and Cédrick Fairon .
  • Coreference in Aphasic and non-Aphasic Spoken Discourse: Annotation Scheme and Preliminary Results. Svetlana Toldova, Elizaveta Ivtushok, Kira Shulgina and Mariya Khudyakova.
  • An NLP pipeline as assisted transcription tool for speech therapists. Gloria Gagliardi, Lorenzo Gregori and Andrea Amelio Ravelli.
  • An Exploration of Personality Traits Detection in a Spanish Twitter Corpus. Gerardo Sierra, Gemma Bel-Enguix, Alejandro Osornio-Arteaga, Adriana Cabrera-Mora, Luis García-Nieto, Alfredo Bustos, Ana-Miriam Romo-Anaya and Víctor Silva-Cuevas.
  • Using Dependency Syntax-Based Methods for Automatic Detection of Psychiatric Comorbidities. Yannis Haralambous, Christophe Lemey, Philippe Lenca, Romain Billot and Deok-Hee Kim-Dufor.
  • 14.00-14.05 Welcome and Introduction (Location "TBA")
  • 14.05-14.50 Invited keynote talk by Dr. Athanasios Tsanas, the Usher Institute, University of Edinburgh, UK.
    • Title: "Harnessing voice signals using signal processing and statistical machine learning: applications in mental health and other biomedical and life sciences applications."
  • 15.00-16.00 Session A (15+5 min x 3 papers) - Chair: Kristina Lundholm Fors
  • 16.00-16.30 Coffee break
  • 16.30-17.30 Session B (15+5 min x 3 papers) - Chair: Dimitrios Kokkinakis
  • 17.30-18.45 General questions to the presenters and posters' session (12 papers)