UNSL's participation at eRisk 2018 Lab. - Dario G. Funez; Maria José Garciarena Ucelay; Maria Paula Villegas; Sergio Burdisso; Leticia C. Cagnina; Manuel Montes-y-Gómez; Marcelo Errecalde (CLEF (Working Notes), 2018)

UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (CLEF (Working Notes), 2019)

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (CoRR, 2019)

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (CoRR, 2019)

A text classification framework for simple and effective early depression detection over social media streams. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (Expert Syst. Appl., 2019)

τ-SS3: A text classifier with dynamic n-grams for early risk detection over text streams. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (Pattern Recognit. Lett., 2020)

UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection. - Juan Martín Loyola; Sergio Burdisso; Horacio Thompson; Leticia C. Cagnina; Marcelo Errecalde (CLEF (Working Notes), 2021)

Using Text Classification to Estimate the Depression Level of Reddit Users. - Sergio Gastón Burdisso; Marcelo Errecalde; Manuel Montes-y-Gómez (J. Comput. Sci. Technol., 2021)

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach. - Sergio Burdisso; Juan Zuluaga-Gomez; Esaú Villatoro-Tello; Martin Fajcik; Muskaan Singh; Pavel Smrz; Petr Motlícek (CASE@EMNLP, 2022)

IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model. - Martin Fajcik; Muskaan Singh; Juan Zuluaga-Gomez; Esaú Villatoro-Tello; Sergio Burdisso; Petr Motlícek; Pavel Smrz (CASE@EMNLP, 2022)

UNSL at eRisk 2022: Decision policies with history for early classification. - Juan Martín Loyola; Horacio Thompson; Sergio Burdisso; Marcelo Errecalde (CLEF (Working Notes), 2022)

Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews. - Sergio Burdisso; Esaú Villatoro-Tello; Srikanth R. Madikeri; Petr Motlícek (INTERSPEECH, 2023)

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews. - Sergio Burdisso; Ernesto Reyes-Ramírez; Esaú Villatoro-Tello; Fernando Sánchez-Vega; Adrián Pastor López-Monroy; Petr Motlícek (ClinicalNLP@NAACL, 2024)

Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions. - Dairazalia Sanchez-Cortes; Sergio Burdisso; Esaú Villatoro-Tello; Petr Motlícek (CLEF (1), 2024)

Entity Matching Across Small Networks Using Node Attributes. - Zahra Ahmadi; Zijian Zhang; Hoang H. Nguyen; Sergio Burdisso; Srikanth R. Madikeri; Petr Motlícek; Erinç Dikici; Gerhard Backfried; Marek Kovác; Kvetoslav Malý; Daniel Kudenko (ECAI, 2024)

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction. - Sergio Burdisso; Srikanth R. Madikeri; Petr Motlícek (EMNLP, 2024)

TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR. - Shashi Kumar; Srikanth R. Madikeri; Juan Pablo Zuluaga-Gomez; Iuliia Thorbecke; Esaú Villatoro-Tello; Sergio Burdisso; Petr Motlícek; Karthik S; Aravind Ganapathiraju (EMNLP, 2024)

Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper. - Iuliia Thorbecke; Juan Pablo Zuluaga-Gomez; Esaú Villatoro-Tello; Shashi Kumar; Pradeep Rangappa; Sergio Burdisso; Petr Motlícek; Karthik S; Aravind Ganapathiraju (EMNLP (Findings), 2024)

Reliability Estimation of News Media Sources: Birds of a Feather Flock Together. - Sergio Burdisso; Dairazalia Sanchez-Cortes; Esaú Villatoro-Tello; Petr Motlícek (NAACL-HLT, 2024)

TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR. - Shashi Kumar; Srikanth R. Madikeri; Juan Zuluaga-Gomez; Iuliia Nigmatulina; Esaú Villatoro-Tello; Sergio Burdisso; Petr Motlícek; Karthik Pandia; Aravind Ganapathiraju (CoRR, 2024)

Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper. - Iuliia Thorbecke; Juan Zuluaga-Gomez; Esaú Villatoro-Tello; Shashi Kumar; Pradeep Rangappa; Sergio Burdisso; Petr Motlícek; Karthik Pandia; Aravind Ganapathiraju (CoRR, 2024)

Performance Evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward. - Shashi Kumar; Iuliia Thorbecke; Sergio Burdisso; Esaú Villatoro-Tello; Manjunath K. E; Kadri Hacioglu; Pradeep Rangappa; Petr Motlícek; Aravind Ganapathiraju; Andreas Stolcke (ICASSP Workshops, 2025)

Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering. - Pradeep Rangappa; Juan Zuluaga-Gomez; Srikanth R. Madikeri; Andrés Carofilis; Jeena Prakash; Sergio Burdisso; Shashi Kumar; Esaú Villatoro-Tello; Iuliia Nigmatulina; Petr Motlícek; Karthik Pandia; Aravind Ganapathiraju (ICASSP, 2025)

Unifying Global and Near-Context Biasing in a Single Trie Pass. - Iuliia Thorbecke; Esaú Villatoro-Tello; Juan Pablo Zuluaga-Gomez; Shashi Kumar; Sergio Burdisso; Pradeep Rangappa; Andrés Carofilis; Srikanth R. Madikeri; Petr Motlícek; Karthik Pandia; Kadri Hacioglu; Andreas Stolcke (TSD (1), 2025)

Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering. - Pradeep Rangappa; Roberto Andrés Vasco Carofilis; Jeena Prakash; Shashi Kumar; Sergio Burdisso; Srikanth R. Madikeri; Esaú Villatoro-Tello; Bidisha Sharma; Petr Motlícek; Kadri Hacioglu; Shankar Venkatesan; Saurabh Vyas; et al. (CoRR, 2025)

Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering. - Roberto Andrés Vasco Carofilis; Pradeep Rangappa; Srikanth R. Madikeri; Shashi Kumar; Sergio Burdisso; Jeena Prakash; Esaú Villatoro-Tello; Petr Motlícek; Bidisha Sharma; Kadri Hacioglu; Shankar Venkatesan; Saurabh Vyas; et al. (CoRR, 2025)

SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis. - Sergio Burdisso; Esaú Villatoro-Tello; Petr Motlícek (CoRR, 2025)