Titlebook: Computational Linguistics and Intelligent Text Processing; 9th International Co Alexander Gelbukh Conference proceedings 2008 Springer-Verl

machination

AVERT

laceration

無(wú)能性

Kontinuumsmechanische Grundlagen,tic information about both arguments and adjuncts of verbs. When combined with our best performing classifier (a novel Gaussian classifier), it yields the promising accuracy of 64.2% in classifying 204 verbs to 17 Levin (1993) classes. We discuss the impact of our results on the state-or-art and propose avenues for future work.

DIKE

純樸

https://doi.org/10.1007/3-540-32487-9rd similarity. This work presents a linear time complexity approximative algorithm for computing word similarity without any dimensionality reduction. It then introduces a large-scale evaluation based on two languages and two knowledge sources and discusses the underlying reasons for the relative performance of each measure.

Diuretic

責(zé)怪

Crater

Acquisition of Elementary Synonym Relations from Biological Structured Terminologysing the terminological resource .. It provides results with over 93% precision. Comparison with an existing synonym resource (the general-language resource .) shows that there is a very small overlap between the induced lexicon of synonyms and the . synsets.

overture

A Comparison of Co-occurrence and Similarity Measures as Simulations of Contextrd similarity. This work presents a linear time complexity approximative algorithm for computing word similarity without any dimensionality reduction. It then introduces a large-scale evaluation based on two languages and two knowledge sources and discusses the underlying reasons for the relative performance of each measure.