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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

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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

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