Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
C4.5: programs for machine learning
C4.5: programs for machine learning
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
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
Big Posets of Participatings and Thematic Roles
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Semiautomatic recognition of semantic relationships in english technical texts
Semiautomatic recognition of semantic relationships in english technical texts
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
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
An empirical study on thematic knowledge acquisition based on syntactic clues and heuristics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Instance based learning with automatic feature selection applied to word sense disambiguation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Semantic extraction with wide-coverage lexical resources
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Support Vector Learning for Semantic Argument Classification
Machine Learning
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
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Empirical acquisition of conceptual distinctions via dictionary definitions
Empirical acquisition of conceptual distinctions via dictionary definitions
Semantic role labeling of prepositional phrases
ACM Transactions on Asian Language Information Processing (TALIP)
Semantic Processing for Finite Domains (Studies in Natural Language Processing)
Semantic Processing for Finite Domains (Studies in Natural Language Processing)
Decision trees for sense disambiguation of prepositions: case of over
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Coverage and inheritance in the preposition project
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
SemEval-2007 task 06: word-sense disambiguation of prepositions
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
MELB-YB: preposition sense disambiguation using rich semantic features
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Generalized inference with multiple semantic role labeling systems
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Classifying functional relations in factotum via WordNet hypernym associations
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Preposition senses: generalized disambiguation model
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
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
Spatial role labeling: Towards extraction of spatial relations from natural language
ACM Transactions on Speech and Language Processing (TSLP)
A joint model for extended semantic role labeling
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs. A common inventory is derived from these in support of definition analysis, which is the motivation for this work. The disambiguation concentrates on relations indicated by prepositional phrases, and is framed as word-sense disambiguation for the preposition in question. A new type of feature for word-sense disambiguation is introduced, using WordNet hypernyms as collocations rather than just words. Various experiments over the Penn Treebank and FrameNet data are presented, including prepositions classified separately versus together, and illustrating the effects of filtering. Similar experimentation is done over the Factotum data, including a method for inferring likely preposition usage from corpora, as knowledge bases do not generally indicate how relationships are expressed in English (in contrast to the explicit annotations on this in the Penn Treebank and FrameNet). Other experiments are included with the FrameNet data mapped into the common relation inventory developed for definition analysis, illustrating how preposition disambiguation might be applied in lexical acquisition.