Workshop Topics      




Workshop Topics

organisers workshop scope and aims organisers solicit contributions
programme committee submission requirements important dates

EFFICIENCY IN LARGE-SCALE PARSING SYSTEMS

a workshop to be held at Coling 2000,
the 18th International Conference on Computational Linguistics
Luxembourg, 5 August 2000

This workshop will focus on methods, grammars, and data to facilitate empirical assessment and comparison of the efficiency of large-scale parsing systems.

Organisers
John Carroll, University of Sussex;
Robert C. Moore, Microsoft Research; and
Stephan Oepen, Saarland University.


Workshop Scope and Aims

Interest in large-scale, grammar-based parsing has recently seen a large increase, in response to the complexities of language-based application tasks such as speech-to-speech translation, and enabled by the availability of more powerful computational resources and by efforts in large-scale and collaborative grammar engineering.

There are two main paradigms in the evaluation and comparison of the performance of parsing algorithms and implemented systems: (i) the formal, complexity-theoretic analysis of how an algorithm behaves, typically focussing on worst-case time and space complexity bounds; and (ii) the empirical study of how properties of the parser and input (possibly including the grammar used) affect actual, observed run-time efficiency.

It has often been noted that the theoretical study of algorithms alone does not (yet) suffice to provide an accurate prediction about how a specific algorithm will perform in practice, when used in conjunction with a specific grammar (or type of grammar), and when applied to a particular domain and task. Therefore, empirical assessment of practical parser performance has become an established technique and continues to be the primary means of comparison among algorithms. At the same time, system competence (i.e. coverage and overgeneration with respect to a particular grammar and test set) cannot be decoupled from the evaluation of parser performance, because two algorithms can only be compared meaningfully when they really solve the same problem, i.e. either directly use the same grammar, or at least achieve demonstrably similar competence on the same test set.

The focus of the workshop is on large-scale parsing systems and precise, comparable empirical assessment. We envisage discussion at the workshop will centre on methods, reference grammars, and test data that will facilitate improved comparability. The workshop is intended to bring together representatives from sites working on grammar-based parsing (both in academic and corporate environments) to help the field focus and converge on a common, pre-standard practice in empirical assessment of parsing systems.


The organisers solicit contributions
(in the form of extended abstracts; see below) on the following topics:

  • descriptions of grammars and data used to assess parser efficiency;
  • methods and tools for empirical assessment of parser efficiency; and
  • comparisons of the efficiency of different large-scale parsing systems

 

Programme Committee

John Carroll, University of Sussex, UK;
Gregor Erbach, Telecommunications Research Centre Vienna, Austria;
Bernd Kiefer, DFKI Saarbruecken, Germany;
Rob Malouf, Rijkuniversitet Groningen, The Netherlands;
Robert Moore, Microsoft Research, USA;
Gertjan van Noord, Rijkuniversitet Groningen, The Netherlands;
Stephan Oepen, Saarland University, Germany;
Gerald Penn, Bell Labs Research, USA;
Hadar Shemtov, Xerox Palo Alto Research Centre, USA; and
Kentaro Torisawa, Tokyo University, Japan

more about this workshop

home
 
COLING 2000
 
programme
 
tutorials
 
workshops
 
exhibition
 
registration
 
 
related events
 
ICCL
 
archive
 
sponsors
 
contact
Google
     
   
  DFKI Language Technology Lab
German Research Center
for Artificial Intelligence
Language Technology Lab