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ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing.

, , and . EACL (1), page 916-926. Association for Computational Linguistics, (2017)

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UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row., and . VarDial@COLING 2018, page 77-87. Association for Computational Linguistics, (2018)ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing., , and . EACL (1), page 916-926. Association for Computational Linguistics, (2017)Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set., and . EMNLP, page 1084-1090. Association for Computational Linguistics, (2018)Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding., and . CoRR, (2019)ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation., and . IEEE Access, (2019)From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings., and . CoRR, (2017)Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation., and . NAACL-HLT (1), page 363-369. Association for Computational Linguistics, (2019)Automated essay scoring with string kernels and word embeddings., , and . ACL (2), page 503-509. Association for Computational Linguistics, (2018)Learning to Identify Arabic and German Dialects using Multiple Kernels., and . VarDial, page 200-209. Association for Computational Linguistics, (2017)UnibucKernel: A kernel-based learning method for complex word identification., and . BEA@NAACL-HLT, page 175-183. Association for Computational Linguistics, (2018)