Automatic labeling of semantic roles
Computational Linguistics
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Natural Language Engineering
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Reliable measures for aligning Japanese-English news articles and sentences
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Analysis and repair of name tagger errors
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Labeling chinese predicates with semantic roles
Computational Linguistics
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
NP-external arguments a study of argument sharing in English
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Automatic recognition of logical relations for English, Chinese and Japanese in the GLARF framework
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Self-training PCFG grammars with latent annotations across languages
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Structural linguistics and unsupervised information extraction
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Hi-index | 0.00 |
GLARF relations are generated from treebank and parses for English, Chinese and Japanese. Our evaluation of system output for these input types requires consideration of multiple correct answers.