no code implementations • LREC 2020 • Oscar Sainz, Oier Lopez de Lacalle, Itziar Aldabe, Montse Maritxalar
In this paper we present a relation extraction system that given a text extracts pedagogically motivated relation types, as a previous step to obtaining a semantic representation of the text which will make possible to automatically generate questions for reading comprehension.
no code implementations • LREC 2020 • Andrea Horbach, Itziar Aldabe, Marie Bexte, Oier Lopez de Lacalle, Montse Maritxalar
Automatic generation of reading comprehension questions is a topic receiving growing interest in the NLP community, but there is currently no consensus on evaluation metrics and many approaches focus on linguistic quality only while ignoring the pedagogic value and appropriateness of questions.
no code implementations • 13 Jul 2015 • Itziar Aldabe, Oier Lopez de Lacalle, Iñigo Lopez-Gazpio, Montse Maritxalar
This paper describes a hierarchical system that predicts one label at a time for automated student response analysis.
no code implementations • SEMEVAL 2015 • Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, I{\~n}igo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, Janyce Wiebe