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 generation—content specification, sentence planning, and
> >   surface realization—as 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 generation—content specification, planning, and
> >   grammaticalization—may 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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