5 datasets found

Many knowledge-based solutions were proposed to solve Word Sense disambiguation (WSD) problem with limited annotated resources. Such WSD algorithms are able to cover very large...

Recent advances in Word Sense Disambiguation suggest neural language models can be successfully improved by incorporating knowledge base structure. Such class of models are...

Slovenian datasets for contextual synonym and antonym detection can be used for training machine learning classifiers as described in the MSc thesis of Jasmina Pegan "Semantic...

WoSeDon is a tool for Word Sense Disambiguation. It works for polish texts and as a source of possible senses using plWordNet.

Data and code for the paper published at ICCS 2022: "A Unified Sense Inventory for Word Sense Disambiguation in Polish". The code is available at...