Papers by Sergey Shevchuk

1 papers
Automated Discovery of Mathematical Definitions in Text (2020.lrec-1)

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Challenge: a recent study shows that definition extraction is inefficient for one-sentence definitions . definitions are used in many automatic text analysis tasks, including ontology matching and construction .
Approach: They propose to use convolutional neural network and recurrent neural network to identify mathematical definitions from one sentence.
Outcome: The proposed dataset shows that deep learning methods can identify definitions from mathematical texts.

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