Francesc Benavent


Opinion Mining of Spanish Customer Comments with Non-Expert Annotations on Mechanical Turk
Bart Mellebeek | Francesc Benavent | Jens Grivolla | Joan Codina | Marta R. Costa-jussà | Rafael Banchs
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk


User-Centred Design of Error Correction Tools
Martí Quixal | Toni Badia | Francesc Benavent | Jose R. Boullosa | Judith Domingo | Bernat Grau | Guillem Massó | Oriol Valentín
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper presents a methodology for the design and implementation of user-centred language checking applications. The methodology is based on the separation of three critical aspects in this kind of application: functional purpose (educational or corrective goal), types of warning messages, and linguistic resources and computational techniques used. We argue that to assure a user-centred design there must be a clear-cut division between the “error” typology underlying the system and the software architecture. The methodology described has been used to implement two different user-driven spell, grammar and style checkers for Catalan. We discuss that this is an issue often neglected in commercial applications, and remark the benefits of such a methodology in the scalability of language checking applications. We evaluate our application in terms of recall, precision and noise, and compare it to the only other existing grammar checker for Catalan, to our knowledge.