AIED-CORPUS 2011 - AIED-corpus 2011: WORKSHOP ON CORPUS ANALYSIS OF NATURAL LANGUAGE DIALOGUE FOR BUILDING ITSs
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Website faculty.cs.niu.edu/~freedman/aied2011-corpus-workshop.html |
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Category AIED-CORPUS 2011
Deadline: April 08, 2011 | Date: June 27, 2011-June 28, 2011
Venue/Country: Christchurch, New Zealand
Updated: 2011-03-18 14:28:18 (GMT+9)
Call For Papers - CFP
Computer engagement with natural language dialogue is an important aspect of intelligent tutoring technology and computer supported collaborative learning systems. In addition to being an innate capability of the human organism, natural language is flexible and extensible and does not require the user to learn a new GUI .To form a scientific basis for machine processing of dialogue - either engaging in dialogue or processing dialogue data - many research groups have collected and analyzed corpora of human-human dialogues. Corpus analysis for system construction differs from corpus analysis for other purposes, including various types of linguistic, sociolinguistic or pedagogical analysis, for two reasons. First, technology researchers must focus on methods that can be implemented via computer in real time. Second, intelligent tutoring domains are often technical domains of discourse where a high degree of precision is required.All researchers involved in natural language corpus analysis for pedagogical systems, whether for a current or a prospective system, are invited to participate. Linguistic, statistical, machine learning and hybrid approaches are all welcome.The following topics are of special interest, but other topics are welcome.Input understanding: Parsing, chunking, information extraction, LSA, hybrid approachesDiscourse analysis: Topic choiceDialogue management: Turn-takingText generation: Corpus analysis for a wide spectrum of generation algorithmsSpoken language processing: Speech understanding and generationRelation of language and affect: Recognition of affect in student or tutor languageCorrelation of natural language and other media, eg, videoAdaptation of generated text based on content, user model, or other factorsAutomatic authoring: Generation of ITS dialogues from attested examplesCorpus collection: Issues involved in obtaining a representative sample of the desired textText analysis for CSCL: Characterizing and adapting to individual student contributionsSubmission informationShort papers may range from 2-4 pages in length and include position papers, reports of work in progress, or a description of a proposed demo.Long papers may be up to 8 pages long and include reports of completed work or analyses of issues in the field.All accepted papers will appear in the workshop proceedings.Papers must be submitted through EasyChair by Midnight (GMT) on March 29. Papers should be submitted in PDF format using the Springer LNCS format. Templates can be found in the Conference author Kit . To submit, Go to the EasyChair Workshop page.Program CommitteeReva Freedman (Chair), Northern Illinois UniversityCharles Callaway , University of HaifaBarbara Di Eugenio , University of Illinois at ChicagoMichael Glass , Valparaiso UniversityPamela W. Jordan , University of PittsburghAlistair Knott , University of OtagoBruce McLaren , Carnegie-Mellon UniversityAndrew Olney , University of MemphisDavid R. Traum , USC Institute for Creative TechnologiesFor further informationPlease contact Reva Freedman at rfreedman
niu.edu.
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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