Rainer Osswald


2021

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Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
Kilian Evang | Laura Kallmeyer | Rainer Osswald | Jakub Waszczuk | Torsten Zesch
Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)

2020

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Automatic Extraction of Tree-Wrapping Grammars for Multiple Languages
Tatiana Bladier | Laura Kallmeyer | Rainer Osswald | Jakub Waszczuk
Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

2019

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Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures
Rainer Osswald | Christian Retoré | Peter Sutton
Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures

2017

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Combining Predicate-Argument Structure and Operator Projection: Clause Structure in Role and Reference Grammar
Laura Kallmeyer | Rainer Osswald
Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms

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Modeling Quantification with Polysemous Nouns
Laura Kallmeyer | Rainer Osswald
IWCS 2017 — 12th International Conference on Computational Semantics — Short papers

2016

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Argument linking in LTAG: A constraint-based implementation with XMG
Laura Kallmeyer | Timm Lichte | Rainer Osswald | Simon Petitjean
Proceedings of the 12th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+12)

2007

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Combining Contexts in Lexicon Learning for Semantic Parsing
Richard Socher | Chris Biemann | Rainer Osswald
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

2006

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The Representation of German Prepositional Verbs in a Semantically Based Computer Lexicon
Rainer Osswald | Hermann Helbig | Sven Hartrumpf
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

We describe the treatment of verbs with prepositional complements inHaGenLex, a semantically based computer lexicon for German.Prepositional verbs such as “bestehen auf” (insist on) subcategorize for a prepositional phrase where the preposition usually has no independent meaning of its own. The lexical semantic information inHaGenLex is specified by means of MultiNet, a full-fledged knowledge representation formalism, which proves to be particularly useful for representing the semantics of verbs with prepositional complements.We indicate how the semantic representation in HaGenLex can be used to define semantic classes of prepositional verbs and briefly discuss the relation of these classes to Levin's verb classes. Moreover, wepresent first results on the automatic identification of prepositionalverbs by corpus-based methods.

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Semantic Interpretation of Prepositions for NLP Applications
Sven Hartrumpf | Hermann Helbig | Rainer Osswald
Proceedings of the Third ACL-SIGSEM Workshop on Prepositions