Language Technology II
Recommended Reading
Machine translation
Reading will be assigned during the lectures.
Multilingual language resources
Uszkoreit, H. "New Chances for Deep Linguistic Processing", in Proceedings of COLING 2002, Taipei
Uszkoreit, H., Callmeier, U., Eisele, A., Sch, U., Siegel, M., Uszkoreit, J. "Hybrid Robust Deep and Shallow Semantic Processing for Creativity Support in Document Production", in conference Proceedings, KONVENS, September 2004
Carroll, J., Fang, Alex C. "The Automatic Acquisition of Verb Subcategorisations and their Impact on the Performance of an HPSG Parser", in conference Proceedings, IJCNLP, March 2004
Frank, A., Becker, M., Crysmann, B., Kiefer, B., Schf ACL 2003, Sapporo, Japan
Multilinguale Sprachtechnologie: Gegen E-Mail-Stress und Wissensl (online Press Release) February 18, 2003
Multilinguale Sprachtechnologie: Gegen E-Mail-Stress und WissenslInformationen, p.13, March 2003
Advaith Siddharthan. "Preserving Discourse Structure when Simplifying Text." In: Proceedings of the European Natural Language Generation Workshop (EWNLG), in association with the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003), Budapest, Hungary.
Dini L., Mazzini G. "Opinion classification through information extraction" in Zanasi, Brebbia, Ebecken and Melli (eds), Data Mining III, WIT Press, 2002, 299-310.
Ulrich Schaefer WHAT: An XSLT-based Infrastructure for the Integration of Natural Language Processing Components. Proc. of the Workshop on the Software Engineering and Architecture of LT Systems (SEALTS), HLT-NAACL 2003, Edmonton, Canada.
Natural language human-computer interaction
General
D. Jurafsky and J. H. Martin. Speech and Language Processing. Chapter 19. Prentice Hall. 2000.
M. McTear. Spoken dialogue technology: Enabling the conversational user interface. ACM Computing Surveys, 34(1):90-169, 2002. Download.
H. Clark. Using Language. Chapters 4 and 8. Cambridge University Press. 1996.
MiLCA online course on dialogue: Version 1 and Version 2
Specialized
1. Techniques for verification of user input based on ASR confidences:R. San Segundo, J.M. Montero, J. Ferreiros, R. Cordoba and J.M. Pardo. Designing Confirmation Mechanisms and Error Recover Techniques in a Railway Information System for Spanish. In Proceedings of the SigDial Workshop. 2001. Download.
2. Techniques for providing suggestions for what user can say (when/instead of something not recognized), using a combination of grammar-based and SLM-based ASR:
B.A. Hockey, O. Lemon, E. Campana, L. Hiatt, G. Aist, J. Hieronymus, A. Gruenstein, and J. Dowding. Targeted Help for Spoken Dialogue Systems: Intelligent Feedback Improves Naive User's Performance. Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Budapest, Hungary, April 2003. Download
G. Gorrell, I. Lewin and M. Rayner. Adding Intelligent Help to Mixed-Initiative Spoken Dialoge Systems. In Proc. of International Conference on Spoken Language Processing (ICSLP) 2002. Download
For further reading see references in the individual lectures.