Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Class-based n-gram models of natural language
Computational Linguistics
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Determinants of adjective-noun plausibility
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Generalizing automatically generated selectional patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Class-based probability estimation using a semantic hierarchy
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
A probabilistic account of logical metonymy
Computational Linguistics
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
A comparison of parsing technologies for the biomedical domain
Natural Language Engineering
Evaluating and combining approaches to selectional preference acquisition
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Detection of incorrect case assignments in paraphrase generation
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
| Hi-index | 0.00 |
Previous research has shown that the plausibility of an adjective-noun combination is correlated with its corpus co-occurrence frequency. In this paper, we estimate the co-occurrence frequencies of adjective-noun pairs that fail to occur in a 100 million word corpus using smoothing techniques and compare them to human plausibility ratings. Both class-based smoothing and distance-weighted averaging yield frequency estimates that are significant predictors of rated plausibility, which provides independent evidence for the validity of these smoothing techniques.