https://arxiv.org/abs/2109.07230

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Computer Science > Computation and Language

arXiv:2109.07230 (cs)
[Submitted on 15 Sep 2021]

Title:Learning Mathematical Properties of Integers

Authors:Maria Ryskina, Kevin Knight
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    Abstract: Embedding words in high-dimensional vector spaces has
    proven valuable in many natural language applications. In this
    work, we investigate whether similarly-trained embeddings of
    integers can capture concepts that are useful for mathematical
    applications. We probe the integer embeddings for mathematical
    knowledge, apply them to a set of numerical reasoning tasks, and
    show that by learning the representations from mathematical
    sequence data, we can substantially improve over number
    embeddings learned from English text corpora.

Comments: BlackboxNLP 2021
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as:  arXiv:2109.07230 [cs.CL]
          (or arXiv:2109.07230v1 [cs.CL] for this version)

Submission history

From: Maria Ryskina [view email]
[v1] Wed, 15 Sep 2021 11:54:28 UTC (5,798 KB)
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