In this paper we present a method to group adjectives according to their meaning, as a first step towards the automatic identification of adjectival scales. We discuss the properties of adjectival scales and of groups of semantically related adjectives and how they imply sources of linguistic knowledge in text corpora. We describe how our system exploits this linguistic knowledge to compute a measure of similarity between two adjectives, using statistical techniques and without having access to any semantic information about the adjectives. We also show how a clustering algorithm can use these similarities to produce the groups of adjectives, and we present results produced by our system for a sample set of adjectives. We conclude by presenting evaluation methods for the task at hand, and analyzing the significance of the results obtained.
A study much relevant to ours REF establishes the first step toward automatic identification of adjective scales.
Towards The Automatic Identification Of Adjectival Scales: Clustering Adjectives According To Meaning
Annual Meeting Of The Association For Computational Linguistics
Computer Science