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Braud et al., 2016 - Google Patents

Multi-view and multi-task training of RST discourse parsers

Braud et al., 2016

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Document ID
11671883603365958709
Author
Braud C
Plank B
Søgaard A
Publication year
Publication venue
Conference on Computational Linguistics (CoLing)

External Links

Snippet

We experiment with different ways of training LSTM networks to predict RST discourse trees. The main challenge for RST discourse parsing is the limited amounts of training data. We combat this by regularizing our models using task supervision from related tasks as well as …
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Classifications

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    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
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