A Question Answer System for Legal Information Retrieval
The Senso Question Answering System at QA@CLEF 2008
A proposal for a Web Information Extraction and Question-Answer System
Using NLP techniques to create legal ontologies in a logic programming based web information retrieval system
Universidade de Évora | Departamento de Informática - Academia.edu
JIUE 2018
Paulo QUARESMA | Associated Professor | PhD in Informatics | Universidade de Évora, Évora | uevora | Department of Informatics
ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter - ACL Anthology
Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9 - ACL Anthology
The University ofÉvora approach to QA@CLEF-2004
Comparison of Statistical and Machine-Learning Models on Road Traffic Accident Severity Classification
Universidade de Évora | Departamento de Informática - Academia.edu
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12 - ACL Anthology
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task - ACL Anthology
In search of reputation assessment: experiences with polarity classification in RepLab 2013
Jose Saias - Assistant Professor - Universidade de Évora | LinkedIn
Computers | Free Full-Text | Comparison of Statistical and Machine-Learning Models on Road Traffic Accident Severity Classification
Equipa – Almada Negreiros
SpecialIssue
PDF) Semantic enrichment of a web legal information retrieval system
Computers | Free Full-Text | Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction | HTML
Universidade de Évora | Departamento de Informática - Academia.edu
Universidade de Évora | Departamento de Informática - Academia.edu
