Corpora: Corrected address
Svetlana Sheremetyeva
lana at crl.nmsu.edu
Thu May 4 20:16:33 UTC 2000
PLEASE NOTE A CORRECTED ADDRSS for the main conference home page
> >
> > CALL FOR PARTICIPATION
> >
> > Analysis for Generation
> >
> > a Workshop
> >
> > in conjunction with
> >
> > The International Conference on Natural
> > Language Generation INLG'2000 (June 13-14)
> >
> >
> > June 12, 2000, Mitzpe Ramon,
> > Israel
> >
> > 1. The reasons why the workshop is of interest at this time.
> >
> > The last decade has seen an explosion in the work done in the field of NLG with the
> > emphasis on the development of independent NLG applications rather than generation
> > modules of MT systems. While it seems natural to consider problems of
> > analysis and generation as two sides of a coin in such NLP applications as MT,
> > researchers working on "pure" generation systems sometimes treat problems arising
> > at every stage of generationcontent specification, sentence planning, and
> > surface realizationas independent. Time may be ripe for examining the mutual
> > utility of analysis and generation in greater detail. The impetus is, as can be
> > expected, the goal of minimizing system-building efforts in language engineering.
> >
> > 2. A brief technical description of the issues the workshop will address.
> >
> > The workshop proposes to address:
> >
> > issues connected to the needs of analysis in generation systems as well as
> >
> > issues of interrelation between generation and analysis from the standpoint
> > of reusability and adaptability of analysis techniques and tools for generation.
> >
> > issues of reusability of analysis knowledge and methodology of its
> > acquisition for generation.
> >
> > Analysis as part of generation. A wide range of complex problems which are
> > considered to be specific for generationcontent specification, planning, and
> > grammaticalizationmay lead one to believe that generation is completely
> > independent
> > of analysis. Most generators tacitly assume that an intermediate system module can
> > use the output of the preceding module as its input without any processing (that
> > is, analysis) of this output. This is not, however, the case in practice.
> >
> > A modicum of analysis is, in fact, an essential part of every generation system.
> > The input to generation systems such as raw data in tables, lists, diagrams,
> > elements of various databases or even text snippets that are fed into the system
> > directly
> > by a user still must first be somehow processed, that is, analyzed. The analysis is
> > > needed to provide both the necessary content and, often, format for the content
> > specification (see, for example, Dale 1995, Robin 1994, Kukich 1988, McKeown
> > et al. 1994, Bateman and Teich 1995). This problem becomes especially important in
> > those applications (including multilingual ones) in which at least some input to
> > generation is in textual form (e.g., Sheremetyeva and Nirenburg 1996).
> > Many NLG systems often use a variety of analysis techniques. The question arises
> > whether it is possible to develop criteria to better choose and integrate analysis
> > techniques which could be efficiently applied at different stages of generation.
> >
> > Reusability and adaptability of analysis techniques and tools for generation. While
> > it is not uncommon to believe that generation and analysis are not reversible, a
> > number of contributions over the years have discussed reversibility of analysis
> > and generation resources, especially the grammars. Appelt 1987, Barnett and Mani
> > 1990 and van Noord 1993, among others, demonstrate how the use of reversible
> > grammars may lead to efficient and flexible natural language parsing and
> > generation systems. It is worth discussing constraints on reversibility.
> >
> > Reusability of analysis knowledge and methodology of its acquisition for
> > generation. Generation and analysis are closely related in that both processes use
> > many similar resources, and often it is less expensive to reorganize an existing
> > "analysis" resource (e.g., an analysis lexicon) than to acquire one for generation
> > from scratch. (Allgayer et al. 1989, Viegas and Beale 1996, Sheremetyeva and
> > Nirenburg 1999a, 1999b). It is worth discussing how to establish whether a resource
> > built for analysis can be used for generation and at what price.
> >
> >
> > THE PROGRAM:
> > June,12, 00
> >
> > 13.00 - 13.15 S. Sheremetyeva. Introduction
> >
> > 13.15-13.50 H. Manuelian. Reusability of Mental Representation Theory in
> > Automatic Generation: Generating Expressions Referring to
> > Objects with G-TAG and RMs
> >
> > 13.50-14.25 D. Lonsdale. Leveraging Analysis Operators in Incremental
> > Generation
> >
> > 14.25-15.00 S. Busemann. Interfacing Constraint-Based Grammars and
> > Generation Algorithms
> >
> > 15.00-15.20 Break
> >
> > 15.20-17.00 Panel : R. Kempson, S. Nirenburg, M.Zock, S.Sheremetyeva.
> >
> > PLEASE FIND DETAILS ABOUT REGISTRATION AND ACCOMMODATION at the main conference
> > homepage at
> >
> > http://www.cs.bgu.ac.il/~nlg2000
> > Organizing Committee
> >
> > Svetlana Sheremetyeva, Chair and contact person
> > Computing Research Laboratory, New Mexico State University, USA
> > lana at crl.nmsu.edu
> >
> > Sergei Nirenburg
> > Computing Research Laboratory, New Mexico State University, USA
> >
> > Richard Kittredge
> > Department of Linguistics and Translation, University of Montreal
> > kittredge at IRO.UMontreal.CA
> >
> > Anna Sagvall Hein
> > Department of linguistics, Uppsala University
> > Anna at ling.uu.se
> >
> > Evelyne Viegas
> > Microsoft Corporation
> > evelynev at microsoft.com
> >
> > Michael Zock
> > Language & Cognition LIMSI - CNRS
> > zock at limsi.fr
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