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Word Sense Disambiguation

Performance on head and tail of WSD

More is Not Always Better - We describe a set of experiments to analyze properties such as the volume, provenance, and balancing of training data in the framework of a state-of-the-art WSD system when evaluated on the SemEval-2013 English all-words dataset.

The role of unannotated data

(replication, demo) This paper presents a reproduction study of Yuan et al. (2016) using mostly openly available datasets (GigaWord, SemCor, OMSTI) and software (TensorFlow). Our study showed that similar results can be obtained with much less data.

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