Fundamentals of digital image processing
Fundamentals of digital image processing
Word association norms, mutual information, and lexicography
Computational Linguistics
Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
A systematic comparison of various statistical alignment models
Computational Linguistics
Combining link-based and content-based methods for web document classification
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Bayesian network model for semi-structured document classification
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Bayesian nets in syntactic categorization of novel words
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
Extraction of translation unit from Chinese-English parallel corpora
SIGHAN '02 Proceedings of the first SIGHAN workshop on Chinese language processing - Volume 18
A statistical approach to the semantics of verb-particles
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
A Hybrid Approach to Improve Bilingual Multiword Expression Extraction
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
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
Semantics-based multiword expression extraction
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Dependency parsing with dynamic Bayesian network
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Comparing and combining a semantic tagger and a statistical tool for MWE extraction
Computer Speech and Language
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Identifying multi-word expressions by leveraging morphological and syntactic idiosyncrasy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Extraction of multi-word expressions from small parallel corpora
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A hybrid approach for multiword expression identification
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
Informativeness of inflective noun bigrams in croatian
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Extraction of multi-word expressions from small parallel corpora
Natural Language Engineering
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We propose an architecture for expressing various linguistically-motivated features that help identify multi-word expressions in natural language texts. The architecture combines various linguistically-motivated classification features in a Bayesian Network. We introduce novel ways for computing many of these features, and manually define linguistically-motivated interrelationships among them, which the Bayesian network models. Our methodology is almost entirely unsupervised and completely language-independent; it relies on few language resources and is thus suitable for a large number of languages. Furthermore, unlike much recent work, our approach can identify expressions of various types and syntactic constructions. We demonstrate a significant improvement in identification accuracy, compared with less sophisticated baselines.