Building Ontologies from Text Corpora

Benafia, Ali; Mazouzi, Smaine; Benafia, Sara

doi:10.1145/2832987.2833029

Cited by 1 publication

(1 citation statement)

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“…For instance, Olney et al (2011) explored extracting nodes and relationships from text to build a concept map ontology automatically from textbooks. Other work has also attempted to build ontologies from non-educational texts (Benafia et al, 2015;Szulman et al, 2010) and has explored utilizing crowd-sourcing to build an ontology from text (Getman and Karasiuk, 2014).…”

Section: Related Workmentioning

confidence: 99%

Multiple Choice Question Generation Utilizing An Ontology

Stasaski¹,

Hearst²

2017

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications

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Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes.An assessment by an experienced science teacher shows a significant advantage over a baseline when using the ontology for distractor generation. A subsequent study with three science teachers on the results of a modified question generation algorithm finds significant improvements. An in-depth analysis of the teachers' comments yields useful insights for any researcher working on automated question generation for educational applications.

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Section: Related Workmentioning

confidence: 99%