|Enrique Amigó: "The Fundamental Properties of Similarity and their Application to Text Processing and Information Access Tasks"|
Fecha: martes 28 de mayo de 2013
Lugar de celebración: Sala 1.03, ETSI Informática, UNED
Many Natural Language Processing tasks can be seen as a problem of defining similarity measures between texts (e.g. document/document, query/document, sentence/sentence, etc). A crucial issue is then to find the most appropriate similarity measure or combination of measures. The standard development cycle consists of optimizing measures with respect to test collections with human assessments; However, a common problem with this methodology is that evaluation results change considerably over different datasets.
Enrique Amigó is researcher and lecturer at UNED's NLP&IR Group. His main research interest are focused on evaluation metrics applied to Natural Language Processing tasks.
Lugar de celebraciónSala 1.03ETSI Informática, UNEDc/ Juan del Rosal, 16Ciudad Universitaria28040 Madrid