Sven Hartrumpf


2009

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Large-scale Semantic Networks: Annotation and Evaluation
Václav Novák | Sven Hartrumpf | Keith Hall
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

2006

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Adapting a Semantic Question Answering System to the Web
Sven Hartrumpf
Proceedings of the Workshop on Multilingual Question Answering - MLQA ‘06

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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

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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.

2001

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Coreference resolution with syntactico-semantic rules and corpus statistics
Sven Hartrumpf
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)

1999

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Hybrid Disambiguation of Prepositional Phrase Attachment and Interpretation
Sven Hartrumpf
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora