An empirical model of multiword expression decomposability
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Deterministic dependency parsing of English text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Automatic identification of non-compositional multi-word expressions using latent semantic analysis
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Semantic enrichment of text with background knowledge
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Unsupervised feature adaptation for cross-domain NLP with an application to compositionality grading
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
| Hi-index | 0.00 |
This paper reports on the participation of the NLP Group at UNED in the DiSCo'2011 compositionality evaluation task. The aim of the task is to predict compositionality judgements assigned by human raters to candidate phrases, in English and German, from three common grammatical relations: adjective-noun, subject-verb and subject-object. Our participation is restricted to adjective-noun relations in English. We explore the use of syntactic-based contexts obtained from large corpora to build classifiers that model the compositionality of the semantics of such pairs.