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Meemi: A simple method for post-processing and integrating cross-lingual word embeddings.

, , , and . Nat. Lang. Eng., 29 (3): 746-768 (May 2023)

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LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification., , , and . SemEval@NAACL-HLT, page 79-84. The Association for Computer Linguistics, (2016)LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English., , , , and . SemEval@COLING, page 411-415. The Association for Computer Linguistics, (2014)Shallow Recurrent Neural Network for Personality Recognition in Source Code., , and . FIRE (Working Notes), volume 1737 of CEUR Workshop Proceedings, page 33-37. CEUR-WS.org, (2016)On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning., , , and . LREC, page 4013-4023. European Language Resources Association, (2020)Comparing neural- and N-gram-based language models for word segmentation., and . J. Assoc. Inf. Sci. Technol., 70 (2): 187-197 (2019)Learning Cross-lingual Embeddings from Twitter via Distant Supervision., , , , , and . CoRR, (2019)Towards robust word embeddings for noisy texts., , and . CoRR, (2019)On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning., , , and . CoRR, (2019)Studying the effect and treatment of misspelled queries in Cross-Language Information Retrieval., , , and . Inf. Process. Manag., 52 (4): 646-657 (2016)Buscando robustez en un mundo multilingüe: de pipelines a embeddings.. Proces. del Leng. Natural, (2021)