no code implementations • COLING 2020 • Andr{\'e}s Rosso-Mateus, Fabio A. Gonz{\'a}lez, Manuel Montes-y-G{\'o}mez
One way to address this problem is to look at it as a metric learning problem, where we want to induce a metric between questions and passages that assign smaller distances to more relevant passages.
no code implementations • LREC 2020 • Mar{\'\i}a Jos{\'e} D{\'\i}az-Torres, Paulina Alej Mor{\'a}n-M{\'e}ndez, ra, Luis Villasenor-Pineda, Manuel Montes-y-G{\'o}mez, Juan Aguilera, Luis Meneses-Ler{\'\i}n
For this purpose, a Mexican Spanish Twitter corpus was compiled and analyzed.
no code implementations • NAACL 2019 • Mario Ezra Arag{\'o}n, Adrian Pastor L{\'o}pez-Monroy, Luis Carlos Gonz{\'a}lez-Gurrola, Manuel Montes-y-G{\'o}mez
The results are encouraging; the usage of fine-grained emotions improved the results from a representation based on the core emotions and obtained competitive results in comparison to state of the art approaches.
no code implementations • WS 2018 • Andr{\'e}s Rosso-Mateus, Fabio A. Gonz{\'a}lez, Manuel Montes-y-G{\'o}mez
Biomedical Question Answering is concerned with the development of methods and systems that automatically find answers to natural language posed questions.
no code implementations • SEMEVAL 2018 • Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Fern S{\'a}nchez-Vega, o, Manuel Montes-y-G{\'o}mez, Paolo Rosso
This paper describes an ensemble approach to the SemEval-2018 Task 3.