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Bilingual English-German word embedding models for scientific text ...
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Bilingual English-German word embedding models for scientific text ...
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Whatever it takes to understand a central banker: Embedding their words using neural networks
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Abstract:
Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we gather a text corpus that is unparalleled in size and diversity in the central bank communication literature, as well as introduce a novel approach to text quantification from computational linguistics. Utilizing this novel text corpus of over 23,000 documents from over 130 central banks we are able to provide high quality text-representations - embeddings - for central banks. Finally, we demonstrate the applicability of embeddings in this paper by several examples in the fields of monetary policy surprises, financial uncertainty, and gender bias.
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Keyword:
C45; C53; Central Bank Communication; ddc:330; E52; Natural Language Processing; Neural Network; Transfer Learning; Word Embedding; Z13
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URL: http://hdl.handle.net/10419/244359
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Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
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Quantum-like generalization of complex word embedding: a lightweight approach for textual classification.
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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Deep learning-based cryptocurrency sentiment construction
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Nasekin, Sergey; Chen, Cathy Yi-Hsuan. - : Berlin: Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", 2018
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