Robust Processing of Natural Language

@inproceedings{Menzel1995RobustPO,
  title={Robust Processing of Natural Language},
  author={Wolfgang Menzel},
  booktitle={Deutsche Jahrestagung f{\"u}r K{\"u}nstliche Intelligenz},
  year={1995}
}
  • W. Menzel
  • Published in
    Deutsche Jahrestagung für K…
    13 July 1995
  • Computer Science
Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by “normal” means. This schema implies, that error detection always comes prior to error handling, a behaviour which hardly can compete with its human model, where many erroneous situations are treated without even noticing them. The paper analyses the necessary preconditions for achieving a higher degree of robustness… 

Hybrid methods of natural language analysis

  • K. Foth
  • Computer Science
    Ausgezeichnete Informatikdissertationen
  • 2006
The automatic retrieval of syntax structure has been a longstanding goal of computer science, but one that still does not seem attainable because this kind of grammar development requires enormous effort by experts qualified in a particular language.

Robust parsing with weighted constraints

An architecture for robust parsing of natural language utterances has been developed, using a plausibility-based arbitration procedure to derive fairly rich structural representations, comprising aspects of syntax, semantics and other description levels of language.

Robustness beyond shallowness: incremental deep parsing

This work argues that with a systematic incremental methodology one can go beyond shallow parsing to deeper language analysis, while preserving robustness, and describes a generic system based on such a methodology and designed for building robust analyzers that tackle deeper linguistic phenomena than those traditionally handled by the now widespread shallow parsers.

Automatic and unsupervised methods in natural language processing

A supervised evaluation scheme that uses an error-free treebank to determine the robustness of a parser when faced with noisy input such as spelling errors and an unsupervised evaluation procedure for parser robustness that can reliably establish the robustity of an NLP system without any need of manual work are implemented.

Robust Processing for Constraint-based Grammar Formalisms

This thesis addresses the issue of how Natural Language Processing systems using ‘constraint-based’ grammar formalisms can be made robust, i.e. able to deal with input which is in some way ill-formed or extragrammatical, and proposes an approach to robust unification.

Robust parsing techniques for semantic analysis of natural language queries

The goal of this experiment was to investigate the eoeectiveness of a robust semantic analysis of analyzed speech input in a pipelined architecture, where no control is possible over the morphosyntactic analysis which precedes the semantic analysis and query formation.

Resolving anaphoric references on deficient syntactic descriptions

Two approaches are presented which generalize the verification of coindexing constraints to deficient descriptions and a partly heuristic method is described, which has been implemented and a provable complete method is specified.

Glr*: a robust grammar-focused parser for spontaneously spoken language

A general framework for combining a collection of parse evaluation measures into an integrated heuristic for evaluating and ranking the parses produced by the GLR* parser, that was designed to be robust to two particular types of extra-grammaticality: noise in the input, and limited grammar coverage.

HERALD Hybrid Environment for Robust Analysis of Language Data

This project addresses the problem of performing structura l and semantic analysis of data where the syntactic and semantic models of the domain are inadequate, and robust methods must be employed to

Parsing engineering and empirical robustness

An empirical definition of robustness based on the notion of performance is proposed and a framework for controlling the parser robustness in the design phase is presented.
...

References

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