Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers

Learning under Covariate Shift for Domain Adaptation for Word Sense Disambiguation

Use of Combined Topic Models in Unsupervised Domain Adaptation for Word Sense Disambiguation

Unsupervised Domain Adaptation for Word Sense Disambiguation using Stacked Denoising Autoencoder

Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences

Domain adaptation or transfer learning using pre-trained language models such as BERT has proven to be an effective approach for many natural language processing tasks. In this work, we propose to formulate word sense di…

Comparison of Genres in Word Sense Disambiguation using Automatically Generated Text Collections

The best approaches in Word Sense Disambiguation (WSD) are supervised and rely on large amounts of hand-labelled data, which is not always available and costly to create. In our work we describe an approach that is used …