In Word Sense Disambiguation, sense annotated corpora are often essential for evaluating a system and also valuable in order to reach a good efficiency. Always created for a specific purpose, there are today a dozen of sense annotated English corpora, in various formats and using different versions of WordNet. The main hypothesis of this work is that it should be possible to build a disambiguation system by using any of these corpora during the training phase or during the testing phase regardless of their original purpose. In this article, we present UFSAC: a format of corpus that can be used for either training or testing a disambiguation system, and the process we followed for constructing this format. We give to the community the whole set of sense annotated English corpora that we know, in this unified format, when the copyright allows it, with sense keys converted to the last version of WordNet. We also provide the source code for building these corpora from their original data, and a complete Java API for manipulating corpora in this format. The whole resource is available at the following URL: https://github.com/getalp/UFSAC.
@InProceedings{VIAL18.250, author = {Loïc Vial and Benjamin Lecouteux and Didier Schwab}, title = "{UFSAC: Unification of Sense Annotated Corpora and Tools}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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