José Luis Vicedo

Also published as: J.L. Vicedo, Jose Luis Vicedo, Jose-Luis Vicedo, José L. Vicedo


Multilingual Assistant for Medical Diagnosing and Drug Prescription Based on Category Ranking
Fernando Ruiz-Rico | Jose-Luis Vicedo | María-Consuelo Rubio-Sánchez
Coling 2008: Companion volume: Demonstrations

The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
Elena Cabrio | Milen Kouylekov | Bernardo Magnini | Matteo Negri | Laura Hasler | Constantin Orasan | David Tomás | Jose Luis Vicedo | Guenter Neumann | Corinna Weber
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages currently involved in the project are Italian, English, Spanish and German. It introduces a semantic annotation scheme for spoken information access requests, specifically derived from Question Answering (QA) research. In addition to pragmatic and semantic annotations, we propose three QA-based annotation levels: the Expected Answer Type, the Expected Answer Quantifier and the Question Topical Target of a request, to fully capture the content of a request and extract the sought-after information. The QALL-ME benchmark is developed under the EU-FP6 QALL-ME project which aims at the realization of a shared and distributed infrastructure for Question Answering (QA) systems on mobile devices (e.g. mobile phones). Questions are formulated by the users in free natural language input, and the system returns the actual sequence of words which constitutes the answer from a collection of information sources (e.g. documents, databases). Within this framework, the benchmark has the twofold purpose of training machine learning based applications for QA, and testing their actual performance with a rapid turnaround in controlled laboratory setting.


Question Answering in Restricted Domains: An Overview
Diego Mollá | José Luis Vicedo
Computational Linguistics, Volume 33, Number 1, March 2007


Splitting Complex Temporal Questions for Question Answering Systems
E. Saquete | P. Martínez-Barco | R. Muñoz | J.L. Vicedo
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)


Passage Selection to Improve Question Answering
Fernando LLopis | José Luis Vicedo | Antonio Ferrández
COLING-02: Multilingual Summarization and Question Answering


Importance of Pronominal Anaphora Resolution in Question Answering Systems
José L. Vicedo | Antonio Ferrández
Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics