Search Results for author: Montse Maritxalar

Found 8 papers, 0 papers with code

Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions

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.

Reading Comprehension

Domain Adapted Distant Supervision for Pedagogically Motivated Relation Extraction

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.

Reading Comprehension Relation Extraction +2

Supervised Hierarchical Classification for Student Answer Scoring

no code implementations13 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.

Classification General Classification

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