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The First Workshop on Patient-Oriented Language Processing (CL4Health)
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PROGRAM
Monday May 20, 2024 | |
| 09:00–09:05 Opening remarks | |
| 09:05–10:30 Session 1: Communicating with patients | |
| 09:05–09:35 | Invited talk – Barbara Di Eugenio: Engaging the Patient in Healthcare: Summarization and Interaction |
| 09:35–09:55 | Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning Jonathan David Mutal, Raphael Rubino, Pierrette Bouillon, Bastien David, Johanna Gerlach and Irene Strasly |
| 09:55–10:15 | It’s Difficult to Be Neutral – Human and LLM-based Sentiment Annotation of Patient Comments Petter Mæhlum, David Samuel, Rebecka Maria Norman, Elma Jelin, Øyvind Andresen Bjertnæs, Lilja Øvrelid and Erik Velldal |
| 10:15–10:30 | Poster boasters |
| 10:30–11:00 | Coffee break |
| 11:00–13:00 Session 2: Patients’ language and care | |
| 11:00–11:30 | Invited talk – Natalia Grabar: Linguistic Foundations of the Simplification and its Current State |
| 11:30–11:50 | Simulating Diverse Patient Populations Using Patient Vignettes and Large Language Models Daniel Reichenpfader and Kerstin Denecke |
| 11:50–12:10 | Annotating Emotions in Acquired Brain Injury Patients’ Narratives Salomé Klein, Amalia Todirascu, Hélène Vassiliadou, Marie Kuppelin, Joffrey Becart, Thalassio Briand, Clara Coridon, Francine Gerhard-Krait, Joé Laroche, Jean Ulrich and Agata Krasny-Pacini |
| 12:10–12:30 | Structuring Clinical Notes of Italian ST-elevation Myocardial Infarction Patients Vittorio Torri, Sara Mazzucato, Stefano Dalmiani, Umberto Paradossi, Claudio Passino, Sara Moccia, Silvestro Micera and Francesca Ieva |
| 12:30–13:00 | Poster boasters |
| 13:00–14:30 | Lunch |
| 14:30–14:50 | Invited talk – Graciela Gonzalez-Hernandez: Patients are speaking - are we listening? Incorporating patient perspectives posted online into clinical trials |
| 14:50–16:30 Poster session (parallel) | |
| Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts Silvana Deilen, Ekaterina Lapshinova-Koltunski, Sergio Hernández Garrido, Christiane Maaß, Julian Hörner, Vanessa Theel and Sophie Ziemer | |
| Large Language Models as Drug Information Providers for Patients Luca Giordano and Maria Pia di Buono | |
| Towards Generation of Personalised Health Intervention Messages Clara Wan Ching Ho and Volha Petukhova | |
| Analysing Emotions in Cancer Narratives: A Corpus-Driven Approach Daisy Monika Lal, Paul Rayson, Sheila A. Payne and Yufeng Liu | |
| Study of Medical Text Reading and Comprehension through Eye-Tracking Fixations Oksana Ivchenko and Natalia Grabar | |
| A Neuro-Symbolic Approach to Monitoring Salt Content in Food Anuja Tayal, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd, Carolyn A. Dickens, Eulalia P. Abril, Olga Garcia-Bedoya and Paula G. Allen-Meares | |
| On Simplification of Discharge Summaries in Serbian: Facing the Challenges Anđelka Zečević, Milica Ćulafić and Stefan Stojković | |
| Medical-FLAVORS: A Figurative Language and Vocabulary Open Repository for Spanish in the Medical Domain Lucia Pitarch, Emma Angles-Herrero, Yufeng Liu, Daisy Monika Lal, Jorge Gracia, Paul Rayson and Judith Rietjens | |
| Generating Synthetic Documents with Clinical Keywords: A Privacy-Sensitive Methodology Simon Meoni, Éric De la Clergerie and Théo Ryffel | |
| Building Certified Medical Chatbots: Overcoming Unstructured Data Limitations with Modular RAG Leonardo Sanna, Patrizio Bellan, Simone Magnolini, Marina Segala, Saba Ghanbari Haez, Monica Consolandi and Mauro Dragoni | |
| Towards Using Automatically Enhanced Knowledge Graphs to Aid Temporal Relation Extraction Timotej Knez and Slavko Žitnik | |
| Experiments in Automated Generation of Discharge Summaries in Italian Lorenzo Ruinelli, Amos Colombo, Mathilde Rochat, Sotirios Georgios Popeskou, Andrea Franchini, Sandra Mitrović, Oscar William Lithgow, Joseph Cornelius and Fabio Rinaldi | |
| Evaluating LLMs for Temporal Entity Extraction from Pediatric Clinical Text in Rare Diseases Context Judith Jeyafreeda Andrew, Marc Vincent, Anita Burgun and Nicolas Garcelon | |
| Generating Distributable Surrogate Corpus for Medical Multi-label Classification Seiji Shimizu, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki | |
| CliniRes: Publicly Available Mapping of Clinical Lexical Resources Elena Zotova, Montse Cuadros and German Rigau | |
| MedDialog-FR: A French Version of the MedDialog Corpus for Multi-label Classification and Response Generation Related to Women’s Intimate Health Xingyu Liu, Vincent Segonne, Aidan Mannion, Didier Schwab, Lorraine Goeuriot and François Portet | |
| Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation Matthew Coole, Paul Rayson, Zoe Glossop, Fiona Lobban, Paul Marshall and John Vidler | |
| 14:50–16:30 Virtual poster session (parallel) | |
| Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records Jesus Lovon-Melgarejo, Thouria Ben-Haddi, Jules Di Scala, Jose G. Moreno and Lynda Tamine | |
| Unraveling Clinical Insights: A Lightweight and Interpretable Approach for Multimodal and Multilingual Knowledge Integration Kanimozhi Uma and Marie-Francine Moens | |
| Automated Question-Answer Generation for Evaluating RAG-based Chatbots Juan José González Torres, Mihai Bogdan Bîndilă, Sebastiaan Hofstee, Daniel Szondy, Quang-Hung Nguyen, Shenghui Wang and Gwenn Englebienne | |
| Speech Accommodation in Health-Care Interactions: Evidence Using a Mixed-Reality Platform Rose Baker, Susan C. Bobb, Dai’Sha Dowson, Elisha Eanes, Makyah McNeill, Hannah Ragsdale, Audrey Eaves, Joseph G. Lee and Kathrin Rothermich | |
| Enhancing Consumer Health Question Reformulation: Chain-of-Thought Prompting Integrating Focus, Type, and User Knowledge Level Jooyeon Lee, Luan Huy Pham and Özlem Uzuner | |
| Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data Selina Meyer, Marcos Fernandez-Pichel, David Elsweiler and David E. Losada | |
| Development of a Benchmark Corpus for Medical Device Adverse Event Detection Susmitha Wunnava, David A. Harris, Florence T. Bourgeois and Timothy A. Miller | |
| Using BART to Automatically Generate Discharge Summaries from Swedish Clinical Text Nils Berg and Hercules Dalianis | |
| 16:00–16:30 | Coffee break |
| 16:30–18:00 Session 3: Social media and literature | |
| 16:30–17:00 | Invited talk – Abeed Sarker: Learning and Educating via NLP of Social Media: the Use Case for Substance Use and Overdose in the United States |
| 17:00–17:20 | Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus Fons Hartendorp, Tom Seinen, Erik van Mulligen and Suzan Verberne |
| 17:20–17:40 | Unveiling Voices: Identification of Concerns in a Social Media Breast Cancer Cohort via Natural Language Processing Swati Rajwal, Avinash Kumar Pandey, Zhishuo Han and Abeed Sarker |
| 17:40–18:00 | Intent Detection and Entity Extraction from Biomedical Literature Ankan Mullick, Mukur Gupta and Pawan Goyal |
| 18:00–18:05 Closing remarks | |