Please use this identifier to cite or link to this item: doi:10.22028/D291-25258
Title: Disambiguation of underspecified discourse representation structures under anaphoric constraints
Author(s): Schiehlen, Michael
Language: English
Year of Publication: 1997
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
definition and use of underspecified semantic representations
scope resolution
anaphora and presupposition
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: The paper explores the possibility of performing anaphora resolution and presupposition accommodation in a situation where scope relations are only partially known. For underspecification of scope ambiguity, the approach builds on Reyle's formalism of Underspecified Discourse Representation Structures (UDRSs, (Reyle, 1993)) which is extended to cover arbitrary constraints from anaphora resolution. Wellformedness conditions are formulated for UDRSs to restrict scope readings as required by anaphora resolution. Based on these conditions, a disambiguation algorithm is presented for scope resolution and presupposition accommodation, which has also been implemented.
Link to this record: urn:nbn:de:bsz:291-scidok-53778
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 188
Date of registration: 7-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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