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Tomar et al., 2017 - Google Patents

Neural paraphrase identification of questions with noisy pretraining

Tomar et al., 2017

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Document ID
14735394231518886281
Author
Tomar G
Duque T
Täckström O
Uszkoreit J
Das D
Publication year
Publication venue
arXiv preprint arXiv:1704.04565

External Links

Snippet

We present a solution to the problem of paraphrase identification of questions. We focus on a recent dataset of question pairs annotated with binary paraphrase labels and show that a variant of the decomposable attention model (Parikh et al., 2016) results in accurate …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
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