
Enrique Amigó
Associate Professor @ UNED, Madrid, Spain
evaluation metrics
information theory
axiomatics
multi-label hierarchical extreme classification
information contrast model (icm)
compositional distributional semantics
text representation model
unsupervised composition functions.
2
presentations
3
number of views
SHORT BIO
Enrique Amigó is currently Associate Professor at the Universidad Nacional de Educación a Distancia (UNED), Spain, and member of the Natural Language Processing & Information Retrieval group at UNED. His research interests so far have focused on two lines of research. Firstly, the axiomatisation of Evaluation Metrics on the basis of measurement theory, making contributions in Classification, Ranking, Diversity, Clustering, Automatic Summarisation, etc. Secondly, the extension of Information Theory over continuous spaces, making contributions in Document Representation, Similarity Metrics, unsupervised fusion of rankings and Distributional Compositional Models.
Presentations

Information Theory-based Compositional Distributional Semantics
Enrique Amigó and 3 other authors

Evaluating Extreme Hierarchical Multi-label Classification
Enrique Amigó and 1 other author