Annotating the MASC Corpus with BabelNet

Abstract

In this paper we tackle the problem of automatically annotating, with both word senses and named entities, the MASC 3.0 corpus, a large English corpus covering a wide range of genres of written and spoken text. We use BabelNet 2.0, a multilingual semantic network which integrates both lexicographic and encyclopedic knowledge, as our sense/entity inventory… (More)

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Cite this paper

@inproceedings{Moro2014AnnotatingTM, title={Annotating the MASC Corpus with BabelNet}, author={Andrea Moro and Roberto Navigli and Francesco Maria Tucci and Rebecca J. Passonneau}, booktitle={LREC}, year={2014} }