Evaluating noise reduction strategies for terminology extraction

Abstract

We present work on the task of reducing noise in nominal terminology extraction. Based on a comparative evaluation of statistical measures aimed at capturing domain specificity, we propose strategies to increase the typically quite low accuracy of classical hybrid nominal multi-word term extraction. Our experiments on a set of German do-it-yourself instruction texts show that using linguistic filters that determine the right span of the MWE before applying a suitable combination of statistical measures improves results.