C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Automatic labeling of semantic roles
Computational Linguistics
Decomposable modeling in natural language processing
Computational Linguistics
A hybrid approach for named entity and sub-type tagging
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Assigning function tags to parsed text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A system for translating locative prepositions from English into French
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Shallow parsing on the basis of words only: a case study
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Digraph analysis of dictionary preposition definitions
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Classifying functional relations in factotum via WordNet hypernym associations
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Semantic role labeling of prepositional phrases
ACM Transactions on Asian Language Information Processing (TALIP)
Semantic role labeling: an introduction to the special issue
Computational Linguistics
A corpus-based analysis of argument realization by preposition structures
Natural Language Engineering
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Empirical acquisition of differentiating relations from definitions
ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
Classifying particle semantics in English verb-particle constructions
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
Disambiguation of preposition sense using linguistically motivated features
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Semantic interpretation of prepositions for NLP applications
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Automatic identification of English verb particle constructions using linguistic features
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
MELB-YB: preposition sense disambiguation using rich semantic features
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Joint learning of preposition senses and semantic roles of prepositional phrases
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
What's in a preposition?: dimensions of sense disambiguation for an interesting word class
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Models and training for unsupervised preposition sense disambiguation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Preposition senses: generalized disambiguation model
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Exploiting frame information for prepositional phrase semantic role labeling
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Semantic role labelling of prepositional phrases
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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This paper reports on experiments in classifying the semantic role annotations assigned to prepositional phrases in both the Penn Treebank and FrameNet. In both cases, experiments are done to see how the prepositions can be classified given the dataset's role inventory, using standard word-sense disambiguation features. In addition to using traditional word collocations, the experiments incorporate class-based collocations in the form of WordNet hypernyms. For Treebank, the word collocations achieve slightly better performance: 78.5% versus 77.4% when separate classifiers are used per preposition. When using a single classifier for all of the prepositions together, the combined approach yields a significant gain at 85.8% accuracy versus 81.3% for word-only collocations. For FrameNet, the combined use of both collocation types achieves better performance for the individual classifiers: 70.3% versus 68.5%. However, classification using a single classifier is not effective due to confusion among the fine-grained roles.