Adapting stochastic LFG input for semantics

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2009
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King, Tracy Holloway
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Titel in einer weiteren Sprache
Die Anpassung von stochastischem LFG Input fuer die Semantik
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BUTT, Miriam, ed. and others. Proceedings of LFG0 9. Stanford, CA: CSLI Publ., 2009, pp. 357-377
Zusammenfassung

LFG c(onstituent)-structure and f(unctional)-structure analyses provide the detailed syntactic structures necessary for subsequent semantic analy- sis. The f-structure encodes grammatical functions as well as semantically relevant features like tense and number. The c-structure, in conjunction with the -mapping, provides the information on linear precedence necessary for semantic scope and anaphora resolution. In this paper, we present a system in which a stochastic LFG-like grammar of English provides the input to the se- mantic processing. The LFG-like grammar uses stochastic methods to create a c-structure and a proto f-structure. A set of ordered rewrite rules augments and reconfigures the proto f-structure to add more information to the stochas- tic output, thereby creating true LFG f-structures with all of the features that the semantics requires. Evaluation of the resulting derived f-structures and of the semantic representations based on them indicates that the stochastic LFG- like grammar can be used to produce input to the semantics. These grammars combine the advantages of LFG structures, e.g. the explicit encoding of gram- matical functions, with the advantages of stochastic systems, e.g. providing connected parses in the face of less-than-ideal input.

Zusammenfassung in einer weiteren Sprache
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ISO 690HAUTLI-JANISZ, Annette, Tracy Holloway KING, 2009. Adapting stochastic LFG input for semantics. In: BUTT, Miriam, ed. and others. Proceedings of LFG0 9. Stanford, CA: CSLI Publ., 2009, pp. 357-377
BibTex
@inproceedings{HautliJanisz2009Adapt-18781,
  year={2009},
  title={Adapting stochastic LFG input for semantics},
  publisher={CSLI Publ.},
  address={Stanford, CA},
  booktitle={Proceedings of LFG0 9},
  pages={357--377},
  editor={Butt, Miriam},
  author={Hautli-Janisz, Annette and King, Tracy Holloway}
}
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    <dcterms:abstract xml:lang="eng">LFG c(onstituent)-structure and f(unctional)-structure analyses provide the detailed syntactic structures necessary for subsequent semantic analy- sis. The f-structure encodes grammatical functions as well as semantically relevant features like tense and number. The c-structure, in conjunction with the  -mapping, provides the information on linear precedence necessary for semantic scope and anaphora resolution. In this paper, we present a system in which a stochastic LFG-like grammar of English provides the input to the se- mantic processing. The LFG-like grammar uses stochastic methods to create a c-structure and a proto f-structure. A set of ordered rewrite rules augments and reconfigures the proto f-structure to add more information to the stochas- tic output, thereby creating true LFG f-structures with all of the features that the semantics requires. Evaluation of the resulting derived f-structures and of the semantic representations based on them indicates that the stochastic LFG- like grammar can be used to produce input to the semantics. These grammars combine the advantages of LFG structures, e.g. the explicit encoding of gram- matical functions, with the advantages of stochastic systems, e.g. providing connected parses in the face of less-than-ideal input.</dcterms:abstract>
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