Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification

no code implementations • NAACL (SMM4H) 2021 • Pedro Ruas, Vitor Andrade, Francisco Couto

The paper describes the participation of the Lasige-BioTM team at sub-tracks A and B of ProfNER, which was based on: i) a BiLSTM-CRF model that leverages contextual and classical word embeddings to recognize and classify the mentions, and ii) on a rule-based module to classify tweets.

Binary Classification named-entity-recognition +3

MRA - Proof of Concept of a Multilingual Report Annotator Web Application

2 code implementations • 6 Apr 2017 • Luís Campos, Francisco Couto

MRA (Multilingual Report Annotator) is a web application that translates Radiology text and annotates it with RadLex terms.

ULisboa: Recognition and Normalization of Medical Concepts

no code implementations • SEMEVAL 2015 • Andr{\'e} Leal, Bruno Martins, Francisco Couto

Ontology alignment repair through modularization and confidence-based heuristics

no code implementations • 19 Jul 2013 • Emanuel Santos, Daniel Faria, Cátia Pesquita, Francisco Couto

Ontology Matching aims to find a set of semantic correspondences, called an alignment, between related ontologies.

Ontology Matching

REACTION: A naive machine learning approach for sentiment classification

no code implementations • SEMEVAL 2013 • Silvio Moreira, Jo{\~a}o Filgueiras, Bruno Martins, Francisco Couto, M{\'a}rio J. Silva

BIG-bench Machine Learning Classification +3