Lapata, Maria, Frank Keller, and Scott McDonald. 2001. Evaluating Smoothing Algorithms against Plausibility Judgments. In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics and the 10th Conference of the European Chapter of the Association for Computational Linguistics, 346-353. Toulouse.
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.
@InProceedings{Lapata:ea:01,
author = {Maria Lapata and Frank Keller and Scott McDonald},
title = {Evaluating Smoothing Algorithms against Plausibility Judgments},
crossref = {ACL:EACL:01},
pages = {346--353}
}
@Proceedings{ACL:EACL:01,
title = {Proceedings of the 39th~Annual Meeting of the Association for
Computational Linguistics and the 10th~Conference of the European
Chapter of the Association for Computational Linguistics},
booktitle = {Proceedings of the 39th~Annual Meeting of the Association for
Computational Linguistics and the 10th~Conference of the European
Chapter of the Association for Computational Linguistics},
year = 2001,
address = {Toulouse}
}