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Abstract This chapter deals with the mathematical representation of words through vectors or embeddings which are the basis of modern language models. It starts by discussing the limits of the one-hot representation and continues with a section that presents traditional approaches based on the factorization of the word co-occurrence ...
Christophe Gaillac, Jérémy L'Hour
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Christophe Gaillac, Jérémy L'Hour
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Chinese Word Embeddings with Subwords
Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, 2018Word embeddings are very useful in variety of natural language processing tasks. Recently, more researches have focused on learning word embeddings with morphological knowledge of words, such as character and subword information. In this paper, we present a new method to use subwords and characters together to enhance word embeddings (SWE).
Gang Yang, Hongzhe Xu, Wen Li
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Hybrid embeddings for transition-based dependency parsing of free word order languages
Information Processing and Management, 2023Fatima Tuz Zuhra, Khalid Saleem
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Word Embeddings are Word Story Embeddings (and That's Fine)
2022Katrin Erk, Gabriella Chronis
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Examining the effect of whitening on static and contextualized word embeddings
Information Processing and Management, 2023Jun Suzuki
exaly
Word-class embeddings for multiclass text classification
Data Mining and Knowledge Discovery, 2021Alejandro Moreo +2 more
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A comparison of word embeddings for the biomedical natural language processing
Journal of Biomedical Informatics, 2018Yanshan Wang, Sijia Liu, Naveed Afzal
exaly