A natural language system for retrieval of captioned images
Natural Language Engineering
A divide-and-conquer strategy for shallow parsing of German free texts
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
An annotation scheme for free word order languages
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Partial parsing via finite-state cascades
Natural Language Engineering
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Efficient construction of underspecified semantics under massive ambiguity
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Experiments in German noun chunking
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A dependency-based method for evaluating broad-coverage parsers
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Combining deep and shallow approaches in parsing German
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Bitext-based resolution of German subject-object ambiguities
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
| Hi-index | 0.00 |
The paper presents two approaches to partial parsing of German: a tagger trained on dependency tuples, and a cascaded finite-state parser (Abney, 1997). For the tagging approach, the effects of choosing different representations of dependency tuples are investigated. Performance of the finite-state parser is boosted by delaying syntactically unsolvable disambiguation problems via underspecification. Both approaches are evaluated on a 340,000-token corpus.