Robust Processing of Natural Language
<|reference_start|>Robust Processing of Natural Language: 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 in natural language processing and suggests a quite different approach based on a procedure for structural disambiguation. It not only offers the possibility to cope with robustness issues in a more natural way but eventually might be suited to accommodate quite different aspects of robust behaviour within a single framework.<|reference_end|>
@article{menzel1995robust,
    title={Robust Processing of Natural Language},
    author={Wolfgang Menzel (University of Hamburg)},
    journal={arXiv preprint arXiv:cmp-lg/9507003},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9507003},
    primaryClass={cmp-lg cs.CL}
}