Text Categorization Based on Regularized Linear Classification Methods
Information Retrieval
Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Similarity of Semantic Relations
Computational Linguistics
Out-of-context noun phrase semantic interpretation with cross-linguistic evidence
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Co-occurrence contexts for noun compound interpretation
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
On the semantics of noun compounds
Computer Speech and Language
Automatic interpretation of noun compounds using wordnet similarity
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Co-occurrence contexts for noun compound interpretation
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
A taxonomy, dataset, and classifier for automatic noun compound interpretation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A comparison of word similarity measures for noun compound disambiguation
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Proceedings of the 1st international workshop on Search and mining entity-relationship data
An unsupervised ranking model for noun-noun compositionality
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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There is little consensus on a standard experimental design for the compound interpretation task. This paper introduces well-motivated general desiderata for semantic annotation schemes, and describes such a scheme for in-context compound annotation accompanied by detailed publicly available guidelines. Classification experiments on an open-text dataset compare favourably with previously reported results and provide a solid baseline for future research.