Presentations (Communicative Events)

Corpus-Based Linguistic Indicators for Aspectual Classification

Siegel, Eric V.

Fourteen indicators that measure the frequency of lexico-syntactic phenomena linguistically related to aspectual class are applied to aspectual classification. This group of indicators is shown to improve classification performance for two aspectual distinctions, stativity and com- pletedness (i.e., tellcity), over unrestricted sets of verbs from two corpora. Several of these indicators have not previously been discovered to correlate with aspect.


More About This Work

Academic Units
Computer Science
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics
Published Here
May 3, 2013