Abstract
We describe a context-free parsing algorithm to deal with incomplete sentences, including unknown parts of unknown length. It produces a finite shared-forest compiling all parses, often infinite in number, that could account for both the error and the missing parts.
In contrast to previous works, we derive profit from a finer dynamic programming construction, leading to an improved computational behavior. We also introduce a deductive construction, which has the advantage of simplifying the task of description.
Research partially supported by the Spanish Government under projects TIC2000-0370-C02-01 and HP2002-0081, and the Autonomous Government of Galicia under projects PGIDT01PXI10506PN, PGIDIT02PXIB30501PR and PGIDIT02SIN01E.
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Vilares, M., Darriba, V.M., Vilares, J. (2004). Parsing Incomplete Sentences Revisited. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_13
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DOI: https://doi.org/10.1007/978-3-540-24630-5_13
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