Ponente: Karin Verspoor, University of Melbourne
Título: Natural Language Processing (NLP) for structuring complex biomedical texts: progress and remaining challenges
Lugar: Sala 3.S1.08 (Edificio de la Biblioteca), Universidad Carlos III de Madrid
Fecha: 4 de abril del 2019, 12:00
Resumen: The BioNLP community has been focused on methods for identifying and extracting key concepts and relations from highly specialised and terminology-rich texts; these texts have posed a challenge to general NLP tools as well as providing an opportunity to explore the robustness of relation extraction methods to domain-specific applications. In this talk, I will present our recent studies with graph kernels and neural methods for relation extraction from the biomedical literature, present empirical work on core supporting tasks such as syntactic analysis of these texts, and discuss open challenges for work in this direction and beyond.