Keywords:
- automatic speech recognition (ASR)
- bias
- bias aware
- conversational modeling
- Data Selection
- depression detection
- Domain Classification
- entity linking
- explainability
- fact checking
- factual reporting
- Graph Convolutional Networks
- Graph Neural Networks
- information verification
- Interpretability
- Interpretable Models
- Language Production
- limited training data
- media bias
- Mental Lexicon
- multitask training
- named entity recognition
- Natural language processing
- news media
- node weighted graphs
- pseudo-labelling
- reinforcement learning
- reliability estimation
- resources and evaluation
- sentence embeddings
- shallow fusion
- Speaker change detection
- speech recognition
- spoken dialogue systems
- streaming transducer
- task-oriented dialog
- Text classification
- user identity linkage
- whisper
- XLSR-Transducer
- Zipformer
Publications of Sergio Burdisso
2024
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews, , , , , and , in: Proceedings of the 6th Clinical Natural Language Processing Workshop, Mexico City, Mexico, pages 82–90, Association for Computational Linguistics, 2024 |
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Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction, , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pages 5421–5440, Association for Computational Linguistics, 2024 |
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Entity Matching Across Small Networks Using Node Attributes, , , , , , , , , and , in: ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19-24, 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings, 2024 |
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Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper, , , , , , , , and , Idiap-RR-10-2024 |
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Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper, , , , , , , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, ACL, 2024 |
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Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions, , , and , in: Proceedings of the 15th International Conference of the CLEF Association: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Grenoble, France, pages 127-138, Springer Nature Switzerland, 2024 |
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Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, pages 6900–6918, Association for Computational Linguistics, 2024 |
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TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR, , , , , , , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20988–20995, Association for Computational Linguistics (ACL), 2024 |
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TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR, , , , , , , , and , Idiap-RR-07-2024 |
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2023
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , Idiap-RR-03-2023 |
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Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , in: Proceedings of Interspeech, 2023 |
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2022
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, , , , , , and , Idiap-RR-13-2022 |
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IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, , , , , , and , in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022 |
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IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model, , , , , , and , Idiap-RR-12-2022 |
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IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model, , , , , , and , in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022 |
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Two Simple and Domain-independent Approaches for Early Detection of Anorexia, , , and , in: Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project, pages 159-182, Springer International Publishing, 2022 |
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UNSL at eRisk 2022: Decision policies with history for early classification, , , and , in: CEUR Workshop Proceedings, 2022 |
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