Paper: DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation

ACL ID P13-4007
Title DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2013
Authors

Implementations of word sense disam- biguation (WSD) algorithms tend to be tied to a particular test corpus format and sense inventory. This makes it difficult to test their performance on new data sets, or to compare them against past algorithms implemented for different data sets. In this paper we present DKPro WSD, a freely licensed, general-purpose framework for WSD which is both modular and exten- sible. DKPro WSD abstracts the WSD process in such a way that test corpora, sense inventories, and algorithms can be freely swapped. Its UIMA-based architec- ture makes it easy to add support for new resources and algorithms. Related tasks such as word sense induction and entity linking are also supported.