C4.5: programs for machine learning
C4.5: programs for machine learning
The disambiguation of nominalizations
Computational Linguistics
Semantic interpretation of deverbal nominalizations
Natural Language Engineering
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The necessity of parsing for predicate argument recognition
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Building a sense tagged corpus with open mind word expert
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
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Automatically extracting nominal mentions of events with a bootstrapped probabilistic classifier
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Semantic role labeling: an introduction to the special issue
Computational Linguistics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
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
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic composition with (robust) minimal recursion semantics
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
NP-external arguments a study of argument sharing in English
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
SemEval-2007 task 17: English lexical sample, SRL and all words
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 9: the interpretation of noun compounds using paraphrasing verbs and prepositions
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Wide-coverage semantic analysis with Boxer
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
On the semantics of noun compounds
Computer Speech and Language
Mapping Verbal Argument Preferences to Deverbals
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Semantic Role Labeling
Beyond NomBank: a study of implicit arguments for nominal predicates
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval-2010 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval-2010 task 10: Linking events and their participants in discourse
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Computational Linguistics
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Computational Linguistics
Hi-index | 0.00 |
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative distinction between event and result nominalizations. The goals of this work is twofold: first, to detect the most relevant features for this denotative distinction; and, second, to build an automatic classification system of deverbal nominalizations according to their denotation. We have based our study on theoretical hypotheses dealing with this semantic distinction and we have analyzed them empirically by means of Machine Learning techniques which are the basis of the ADN-Classifier. This is the first tool that aims to automatically classify deverbal nominalizations in event, result, or underspecified denotation types in Spanish. The ADN-Classifier has helped us to quantitatively evaluate the validity of our claims regarding deverbal nominalizations. We set up a series of experiments in order to test the ADN-Classifier with different models and in different realistic scenarios depending on the knowledge resources and natural language processors available. The ADN-Classifier achieved good results 87.20% accuracy.