Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Collocation Mining: Exploiting Corpora for Collocation, Identification and Representation
KONVENS 2000 / Sprachkommunikation, Vorträge der gemeinsamen Veranstaltung 5. Konferenz zur Verarbeitung natürlicher Sprache (KONVENS), 6. ITG-Fachtagung "Sprachkommunikation"
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations by co-occurrences and word order constraints
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
Methods for the qualitative evaluation of lexical association measures
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Accurate collocation extraction using a multilingual parser
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Multilingual collocation extraction: issues and solutions
MLRI '06 Proceedings of the Workshop on Multilingual Language Resources and Interoperability
A measure of syntactic flexibility for automatically identifying multiword expressions in corpora
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Annotating Chinese collocations with multi information
LAW '07 Proceedings of the Linguistic Annotation Workshop
Measuring the non-compositionality of multiword expressions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A new multiword expression metric and its applications
Journal of Computer Science and Technology - Special issue on natural language processing
Automatic extraction of NV expressions in Basque: basic issues on cooccurrence techniques
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
Unsupervised identification of persian compound verbs
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
A broad evaluation of techniques for automatic acquisition of multiword expressions
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Applying collocation segmentation to the ACL anthology reference corpus
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
Exploratory analysis of highly heterogeneous document collections
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Semantic smoothing for text clustering
Knowledge-Based Systems
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This paper presents a status quo of an ongoing research study of collocations -- an essential linguistic phenomenon having a wide spectrum of applications in the field of natural language processing. The core of the work is an empirical evaluation of a comprehensive list of automatic collocation extraction methods using precision-recall measures and a proposal of a new approach integrating multiple basic methods and statistical classification. We demonstrate that combining multiple independent techniques leads to a significant performance improvement in comparison with individual basic methods.