FHWS Science Journal - Fakultät Informatik und Wirtschaftsinformatik

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Eberhard Grötsch, Alfredo Pina, Michael Schneider, Benno Willoweit 1. set up Apache UIMA since the NLP tools are easy to integrate, 2. obtain a domain specific corpus, 3. split that corpus into a training and a test part, 4. annotate the corpus with semantic class labels, 5. select domain specific and situational features 6. incorporate the features generated by the pre-processing tools (i.e. taggers, parsers, etc.) 7. train a probabilistic model, possibly by using the MaxEnt library of the Apache NLP tools, 8. evaluate the performance with different feature sets 6.1 Necessary Data We need corpora about children’s language domains, and we have to decide, which age level, and which speech domains. If no corpus is available, we have to develop one. Those corpora should be in English language to develop and stabilize the system. Later iterations may incorporate German and Spanish language. 6.2 Further Steps We will set up an experimental environment, based on the work already done, gather experience and knowledge on analyzing/parsing natural language. Then we have to acquire or produce corpora covering our domain of interest (child language). Furthermore we have to work on the problem of creating natural sentences as part of a dialog. Acknowledgements We thank Frank Puppe, Universität Würzburg for his helpful discussions. This work has been partially funded by the EU Project GAVIOTA (DCI-ALA/19.09.01/10/21526/ 245-654/ALFA 111(2010)149. 12 FHWS Science Journal, Vol. 1, No. 1, 2013
Eberhard Grötsch, Alfredo Pina, Michael Schneider, Benno Willoweit REFERENCES ELIZA, 2013. WWW.MED-AI.COM/MODELS/ELIZA.HTML (MARCH 3,2013) GAVIOTA, 2012. REPORT ON THE RESULTS OF THE GAVIOTA PROJECT, INTERNATIONAL MEETING, SANTA CRUZ, BOLIVIA (UNPUBLISHED PRESENTATIONS) FERARI, E., ROBINS, B., DAUTENHAHN, K., 2009. ROBOT AS A SOCIAL MEDIATOR - A PLAY SCENARIO IMPLEMENTATION WITH CHILDREN WITH AUTISM, 8TH INTERNATIONAL CONFERENCE ON INTERACTION DESIGN AND CHILDREN WORKSHOP ON CREATIVE INTERACTIVE PLAY FOR DISABLED CHILDREN, COMO, ITALY FILLMORE, C. J., 2006. FRAME SEMANTICS, IN GEERAERTS, D. (ED.): COGNITIVE LINGUISTICS - BASIC READINGS, CHAP. 10, MOUTON DE GRUYTER, P. 373–400. FRAMENET, 2012. THE FRAMENET PROJECT, UNIVERSITY OF CALIFORNIA, BERKELEY, HTTPS://FRAMENET.ICSI.BERKELEY.EDU (MAR 06, 2013) HAUSSER, R., 2000. GRUNDLAGEN DER COMPUTERLINGUISTIK – MENSCH-MASCHINE-KOMMUNIKATION IN NATÜRLICHER SPRACHE, SPRINGER VERLAG BERLIN IROMEC, 2013. HTTP://WWW.IROMEC.ORG/9.0.HTML (JAN 27, 2013) JEOPARDY, 2011. HTTP://WWW.NYTIMES.COM/2011/02/17/SCIENCE/17JEOPARDY-WATSON.HTML?_R=0, (JAN 28, 2013) ROGERS, C. R., 1951. CLIENT-CENTERED THERAPY, OXFORD, HOUGHTON MIFFLIN SCHNEIDER, M., 2012. PROCESSING OF SEMANTICS OF NATURAL LANGUAGES – PARSING SYNTAX OF NATURAL LANGUAGES, BACHELOR-THESIS, HAW WÜRZBURG-SCHWEINFURT UIMA, 2013. HTTP://UIMA.APACHE.ORG/ (JAN 28, 13) WEIZENBAUM, J., 1966. ELIZA - A COMPUTER PROGRAM FOR THE STUDY OF NATURAL LANGUAGE, COMMUNICATION BETWEEN MAN AND MACHINE. COMMUNICATIONS OF THE ACM. NEW YORK 9.1966,1. ISSN 0001-0782 WILLOWEIT, B., 2012. PROCESSING OF SEMANTICS OF NATURAL LANGUAGES – ANALYZING SEMANTICS, BACHELOR-THESIS, HAW WÜRZBURG-SCHWEINFURT FHWS SCIENCE JOURNAL, Vol. 1, No. 1, 2013 13
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Page 7 and 8: Eberhard Grötsch, Alfredo Pina, Mi
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