Adapting stochastic LFG input for semantics

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HAUTLI, 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., pp. 357-377

@inproceedings{Hautli2009Adapt-18781, title={Adapting stochastic LFG input for semantics}, year={2009}, address={Stanford, CA}, publisher={CSLI Publ.}, booktitle={Proceedings of LFG0 9}, pages={357--377}, editor={Butt, Miriam}, author={Hautli, Annette and King, Tracy Holloway} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/18781"> <dc:creator>Hautli, Annette</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-03-13T13:23:41Z</dcterms:available> <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> <dcterms:issued>2009</dcterms:issued> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/18781"/> <dc:creator>King, Tracy Holloway</dc:creator> <dc:contributor>King, Tracy Holloway</dc:contributor> <dc:language>eng</dc:language> <dcterms:alternative>Die Anpassung von stochastischem LFG Input fuer die Semantik</dcterms:alternative> <dcterms:bibliographicCitation>Publ. in: Proceedings of LFG09 [Elektronische Ressource] / Miriam Butt ... (eds.). - Stanford, CA : CSLI Publ., 2009. - S. 357-377. - letzter Zugriff 13.02.2012</dcterms:bibliographicCitation> <dcterms:title>Adapting stochastic LFG input for semantics</dcterms:title> <dc:rights>deposit-license</dc:rights> <dc:contributor>Hautli, Annette</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-03-13T13:23:41Z</dc:date> </rdf:Description> </rdf:RDF>

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