Search Results for author:
Found 1 papers, 0 papers with code
Annotating the MASC Corpus with BabelNet
Finally, we estimate the quality of our annotations using both manually-tagged named entities and word senses, obtaining an accuracy of roughly 70{\%} for both named entities and word sense annotations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
