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We have recently seen the emergence of several publicly available Natural Language Understanding (NLU) toolkits, which map user utterances to structured, but more abstract, Dialogue Act (DA) or Intent specifications, while making this process accessible to the lay developer.
Daniel Braun, Adrian Hernandez Mendez, Florian Matthes and Manfred Langen (2017) Evaluating Natural Language Understanding Services for Conversational Question Answering Systems. In: Proceedings of SIGDIAL 2017,174–185
2017
Earlier work this paper cites.
Caroline Wisniewski, Clément Delpuech, David Leroy, François Pivan and Joseph Dureau (2017) Benchmarking Natural Language Understanding Systems. https://snips.ai/content/sdk-benchmark-visualisation/
2017
Earlier work this paper cites.
Alice Coucke, Adrien Ball, Clément Delpuech, Clément Doumouro, Sylvain Raybaud, Thibault Gisselbrecht and Joseph Dureau (2017) Benchmarking Natural Language Understanding Systems: Google, Facebook, Microsoft, Amazon, and Snips. https://medium.com/snips-ai/benchmarking-natural-language-understanding-systems-google-facebook-microsoft-and-snips-2b8ddcf9fb19
2017
Cited alongside, same era.
Massimo Canonico and Luigi De Russis (2018) A Comparison and Critique of Natural Language Understanding Tools. In: Proceedings of CLOUD COMPUTING 2018
2018
Cited alongside, same era.
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