Acquisition of the Domain Structure from Document Indexes Using Heuristic Reasoning

Larrañaga, Mikel; Rueda, U.; Elorriaga, Jon A.; Arruarte, Ana

doi:10.1007/978-3-540-30139-4_17

Cited by 12 publications

(19 citation statements)

References 3 publications

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“…Regarding the domain acquisition task, we are currently working in the automatic extraction of the main topics and the pedagogical relations among them represented, explicitly or implicitly, in the table of contents of a document. A set of heuristics that infer such relations and the part-of-speech information have been already defined (Larrañaga et al, 2004) (Larrañaga et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Exploring Basque Document Categorization for Educational Purposes Using Lsi

Zelaia¹,

Alegria²,

Arregi³

et al. 2009

Proceedings of the First International Conference on Computer Supported Education

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In the process of preparing learning material for Computer Supported Learning Systems (CSLSs), one of the first steps involves finding documents relevant to the topics and to the students. This requires documents to be categorized according to some criteria. In this paper we analyze the behaviour of classification techniques such as Naïve Bayes, Winnow, SVMs and k-NN, together with lemmatization and noun selection, in the categorization of documents written in Basque. In a second experiment, we study the effect of applying the Singular Value Decomposition (SVD) dimensionality reduction technique before using the mentioned classification techniques. The results obtained show that the approach which combines SVD and k-NN for a lemmatized corpus gives the best categorization of all with a remarkable difference. The final aim pursued in this project is to facilitate the semiautomatic construction of the domain module of a CSLS.

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Section: Discussionmentioning

confidence: 99%

Exploring Basque Document Categorization for Educational Purposes Using Lsi

Zelaia¹,

Alegria²,

Arregi³

et al. 2009

Proceedings of the First International Conference on Computer Supported Education

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“…• Textbook pre-processing: [14]. The LDO will all Intelligent Tutoring S sessions, or the student learning process in e might allow the stude learnt and provide hint followed to prevent get • LOs Gathering: At th examples, exercises, learning process are id generation process he ErauzOnt [5].…”

Section: Semi Automatic Construction O Modulementioning

confidence: 99%

“…None of its components relies on implicit domainspecific knowledge. All the used domain-specific knowledge are the domain topics and the relationships among those topics described on the LDO, which is semi-automatically gathered in the previous phase of the Domain Module authoring [14] and is the input for the LO extraction process together with the document to be analyzed. Furthermore, the LDOs might be built semi-automatically from the document [14].…”

Section: Improving Erauzont To Support Englishmentioning

confidence: 99%

Automating the authoring of learning material in Computer Engineering education

Conde

Larrañaga

Calvo

et al. 2012

2012 Frontiers in Education Conference Proceedings

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Due to the impact that Information and Communication Technologies have in the current society in general, and in academic institutions in particular, there is a growing need for effective creation and management of digital content. But content authoring is known to be an effort and time consuming task. Digital contents used inside Technology Supported Learning Systems with learning purposes are often referred to as Didactic Resources, or Learning Objects if they are annotated with metadata. One of the main advantages of Learning Objects is that they can be reused to support learning in different platforms or environments. Along this paper an experiment carried out with ErauzOnt, a system that automatically builds Learning Objects from electronic textbooks using Natural Language Processing techniques, ontologies and heuristic reasoning is presented. ErauzOnt was able to gather definitions, examples and exercises for the topics of the Object Oriented Programming subject -a compulsory subject studied at the first year of the Computer Engineering degree at the University of the Basque Countryusing as a starting point a textbook written in English.

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“…Some of them have been manually developed while others were gathered from the electronic documents following the approach described on [5] and supervised using CM-DOM [27].…”

Section: Experience Using Erauzontmentioning

confidence: 99%

“…These domain ontologies are built semi-automatically from the document. The approach has been presented in our earlier work [5].…”

Section: Introductionmentioning

confidence: 99%