@inProceedings{NietoPiña-Luis2016-241139, title = {Embedding Senses for Efficient Graph-based Word Sense Disambiguation}, abstract = {We propose a simple graph-based method for word sense disambiguation (WSD) where sense and context embeddings are constructed by applying the Skip-gram method to random walks over the sense graph. We used this method to build a WSD system for Swedish using the SALDO lexicon, and evaluated it on six different annotated test sets. In all cases, our system was several orders of magnitude faster than a state-of-the-art PageRank-based system, while outperforming a random baseline soundly.}, booktitle = { Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing}, author = {Nieto Piña, Luis and Johansson, Richard}, year = {2016}, publisher = {Association for Computational Linguistics}, } @article{NietoPiña-Luis2016-251412, title = {Benchmarking Word Sense Disambiguation Systems for Swedish}, abstract = {We compare several word sense disambiguation systems for Swedish and evaluate them on seven different sense-annotated corpora. Our results show that unsupervised systems beat a random baseline, but generally do not outperform a first-sense baseline considerably. On a lexical-sample dataset that allows us to train a supervised system, the unsupervised disambiguators are strongly outperformed by the supervised one.}, author = {Nieto Piña, Luis and Johansson, Richard}, year = {2016}, }