Waldinger, R.; Appelt, D. E.; Fry, J.; Israel, D. J.; Jarvis, P.; Martin, D.; Riehemann, S.; Stickel, M. E.; Tyson, M.; Hobbs, J. & Dungan, J. L.: Deductive Question Answering from Multiple Resources. In: Maybury, M. (Hrsg.):
New Directions in Question Answering. Menlo Park, CA: AAAI, 2004
[Volltext] [Kurzfassung]
[BibTeX]
Questions in natural language are answered by consulting multiple sources and inferring answers from information they provide. An automated deduction system, equipped with an axiomatic application-domain theory, serves as the coordinator for the process. Sources include data bases, Web pages, programs, and unstructured text. Answers may contain text or visualizations. Although the approach is domain-independent, many of our experiments have dealt with geographic questions.
Mollá, D.: Ontologically Promiscuous Flat Logical Forms for NLP. In: Bunt, H.; van der Sluis, I. & Thijsse, E. (Hrsg.):
Proceedings of IWCS-4. 2001, S. 249-265
[BibTeX]
Katz, B. & Lin, J.: REXTOR: A System for Generating Relations from Natural Language.
Proc. ACL'2000 Workshop on Recent Advances in Natural Language Processing and Information Retrieval. 2000
[Volltext] [Kurzfassung]
[BibTeX]
This paper argues that a finite-state language model with a ternary expression representation is currently the most practical and suitable bridge between natural language processing and information retrieval...
Kay, M.: Chart Generation.
Proc. 34th Annual Meeting of the ACL. Santa Cruz, CA: 1996, S. 200-204
[Kurzfassung]
[BibTeX]
Charts constitute a natural uniform architecture for parsing and generation provided string position is replaced by a notion more appropriate to logical forms and that measures are taken to curtail generation paths containing semantically incomplete phrases.