Difference between revisions of "A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions"
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== Overview == | == Overview == | ||
This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. Authors have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the generation of distractors. Learning-based approaches are applied to address the first two problems. Authors then propose a way to generate distractors by using E-How Net [[ontology]] database and [[Wikipedia]] sources. The system was evaluated through user study and test theory, and achieved a satisfaction rate of up to 70.6%. | This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. Authors have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the generation of distractors. Learning-based approaches are applied to address the first two problems. Authors then propose a way to generate distractors by using E-How Net [[ontology]] database and [[Wikipedia]] sources. The system was evaluated through user study and test theory, and achieved a satisfaction rate of up to 70.6%. | ||
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Chu, Min-Huang; Chen, Wen-Yu; Lin, Shou-De. (2012). "[[A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions]]".DOI: 10.1109/TAAI.2012.38. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Chu |first1=Min-Huang |last2=Chen |first2=Wen-Yu |last3=Lin |first3=Shou-De |title=A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions |date=2012 |doi=10.1109/TAAI.2012.38 |url=https://wikipediaquality.com/wiki/A_Learning-Based_Framework_to_Utilize_E-Hownet_Ontology_and_Wikipedia_Sources_to_Generate_Multiple-Choice_Factual_Questions}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Chu, Min-Huang; Chen, Wen-Yu; Lin, Shou-De. (2012). &quot;<a href="https://wikipediaquality.com/wiki/A_Learning-Based_Framework_to_Utilize_E-Hownet_Ontology_and_Wikipedia_Sources_to_Generate_Multiple-Choice_Factual_Questions">A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions</a>&quot;.DOI: 10.1109/TAAI.2012.38. | ||
| + | </nowiki> | ||
| + | </code> | ||
Revision as of 09:40, 6 February 2021
Authors | Min-Huang Chu Wen-Yu Chen Shou-De Lin |
|---|---|
Publication date | 2012 |
DOI | 10.1109/TAAI.2012.38 |
Links | Original |
A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions - scientific work related to Wikipedia quality published in 2012, written by Min-Huang Chu, Wen-Yu Chen and Shou-De Lin.
Overview
This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. Authors have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the generation of distractors. Learning-based approaches are applied to address the first two problems. Authors then propose a way to generate distractors by using E-How Net ontology database and Wikipedia sources. The system was evaluated through user study and test theory, and achieved a satisfaction rate of up to 70.6%.
Embed
Wikipedia Quality
Chu, Min-Huang; Chen, Wen-Yu; Lin, Shou-De. (2012). "[[A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions]]".DOI: 10.1109/TAAI.2012.38.
English Wikipedia
{{cite journal |last1=Chu |first1=Min-Huang |last2=Chen |first2=Wen-Yu |last3=Lin |first3=Shou-De |title=A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions |date=2012 |doi=10.1109/TAAI.2012.38 |url=https://wikipediaquality.com/wiki/A_Learning-Based_Framework_to_Utilize_E-Hownet_Ontology_and_Wikipedia_Sources_to_Generate_Multiple-Choice_Factual_Questions}}
HTML
Chu, Min-Huang; Chen, Wen-Yu; Lin, Shou-De. (2012). "<a href="https://wikipediaquality.com/wiki/A_Learning-Based_Framework_to_Utilize_E-Hownet_Ontology_and_Wikipedia_Sources_to_Generate_Multiple-Choice_Factual_Questions">A Learning-Based Framework to Utilize E-Hownet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions</a>".DOI: 10.1109/TAAI.2012.38.
