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Salience in the Generation of Multimodal Referring Acts
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In: http://mcs.open.ac.uk/pp2464/inpress/Piwek-ICMI2009.pdf
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| 362 |
Generating a Sentence from a Thought
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In: http://world-comp.org/p2011/ICA3771.pdf
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| 363 |
Fully Generated Scripted Dialogue for Embodied Agents
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In: http://www.csd.abdn.ac.uk/~kvdeemte/NECA-final.pdf
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| 364 |
Language Engineering System for Automatic Conversion of English Cyber Data into Urdu Websites
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In: http://www.cs.bham.ac.uk/~isb855/papers/ICCA06_.pdf
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| 365 |
doi: 0.5087/dad.2012.205 G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support
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In: http://elanguage.net/journals/dad/article/viewFile/1463/2827/
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Abstract:
Many electronic feedback systems have been proposed for writing support. However, most of these systems only aim at supporting writing to communicate instead of writing to learn, as in the case of literature review writing. Trigger questions are potentially forms of support for writing to learn, but current automatic question generation approaches focus on factual question generation for reading comprehension or vocabulary assessment. This article presents a novel Automatic Question Generation (AQG) system, called G-Asks, which generates specific trigger questions as a form of support for students ' learning through writing. We conducted a large-scale case study, including 24 human supervisors and 33 research students, in an Engineering Research Method course and compared questions generated by G-Asks with human generated questions. The results indicate that G-Asks can generate questions as useful as human supervisors (‘useful ’ is one of five question quality measures) while significantly outperforming Human Peer and Generic Questions in most quality measures after filtering out questions with grammatical and semantic errors. Furthermore, we identified the most frequent question types, derived from the human supervisors’ questions and discussed how the human supervisors generate such questions from the source text.
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Keyword:
Academic Writing Support; Automatic Question Generation; General Terms; Natural Language Processing
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URL: http://elanguage.net/journals/dad/article/viewFile/1463/2827/
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.9860
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| 367 |
Text-to-text Surface Realisation using Dependency-tree Replacement
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In: http://each.uspnet.usp.br/ivandre/papers/text2TextSurfaceReal(10p).pdf
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| 368 |
An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style
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In: http://games.soe.ucsc.edu/sites/default/files/1114_Paper.pdf
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| 369 |
Experience
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In: http://www.desilinguist.org/pdf/madnani-cv.pdf
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| 370 |
Perceived or Not Perceived: Film Character Models for Expressive NLG
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In: http://users.soe.ucsc.edu/~maw/papers/icids-v12.pdf
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| 371 |
Solicited review(s): Name Surname, University, Country Open review(s): Name Surname, University, Country
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In: http://www.semantic-web-journal.net/system/files/swj450.pdf
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| 372 |
IOS Press Natural Language Generation in the Context of the Semantic Web
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In: http://www.semantic-web-journal.net/system/files/swj511_0.pdf
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| 373 |
Feeding memes: a verbal communication challenge
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In: http://mobileguide06.di.unito.it/pdf/Simi%26al.pdf
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| 374 |
On Moving on on Ontologies: Mass, Count and Long Thin Things
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In: http://acl.ldc.upenn.edu/W/W94/W94-0309.pdf
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| 375 |
Exploring neural paraphrasing to improve fluency of rule-based generation
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| 376 |
Spanish morphological generation with wide-coverage lexicons and decision trees
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| 377 |
An adaptable lexical simplification architecture for major ibero-romance languages
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| 379 |
Automatic generation of textual descriptions in data-to-text systems using a fuzzy temporal ontology: Application in air quality index data series
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