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A New Distance Geometry Method for Constructing Word and Sentence Vectors

Abstract : We present a new methodology for producing low-dimensional word vectors based on distance geometry and dimensional reduction techniques. We use these word vectors in order to construct sentence vectors. We evaluate their usefulness in a sentence classification task performed by a simple artificial neural network. Compared to n-gram incidence vectors, the new methodology is shown to yield lower loss values.
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https://hal.archives-ouvertes.fr/hal-02869238
Contributor : Leo Liberti <>
Submitted on : Wednesday, June 24, 2020 - 11:46:17 AM
Last modification on : Thursday, June 25, 2020 - 3:39:22 AM

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Leo Liberti. A New Distance Geometry Method for Constructing Word and Sentence Vectors. WWW '20: The Web Conference 2020 (DL4G satellite workshop), 2020, Taipei, Taiwan. pp.679-685, ⟨10.1145/3366424.3391267⟩. ⟨hal-02869238⟩

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