GATE: Recent Developments and Applications

This talk will present GATE, a General Architecture for Text Engineering, which is an open-source NLP framework and a set of associated components for NLP tasks, such as parsing, part-of-speech-tagging, information extraction, etc. The focus will be on recent developments and extensions made to the infrastructure: information extraction, ontology support, corpus search, machine learning for IE, etc. In addition, time permitting, I will present some applications that have been created using GATE: multimedia annotation and indexing and collaborative annotation.

Dr. Kalina Bontcheva is a Senior Research Fellow at the Natural Language Processing Group, Department of Computer Science, University of Sheffield. Dr Bontcheva received her PhD on the topic of adaptive hypertext generation from the University of Sheffield in 2001. She is currently the coordinator of the EU-funded TAO research project (www.gate.ac.uk/projects/tao) and contributes to several other research projects on information extraction, knowledge management, and semantic web.

Kalina Bontcheva has been working in NLP since 1996. Her main interests are software infrastructures for NLP, information extraction, natural language generation, and text summarization, on which she has published more than 40 papers. She has been one of the leading developers of Sheffield’s widely used open source NLP infrastructure GATE (https://gate.ac.uk/) since 1999. Dr Bontcheva is a member of the UK EPSRC College (2006-2008) and a reviewer for many international conferences (e.g., RANLP, ACL, COLING). 

Déroulement

Une présentation générale aura lieu de 11h à 12h salle LIRIS INSA 501.301

Une séance de travaux pratiques aura lieu de 13h30 à 15h dans la salle 501.210 ( 16 postes).