33 lines
1.5 KiB
Org Mode
33 lines
1.5 KiB
Org Mode
---
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title: "Destygo: Towards Self-Learning Chatbots"
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date: 2019-04-06
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---
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Last week I made a presentation at the
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[[https://www.meetup.com/Paris-NLP/][Paris NLP Meetup]], on how we
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implemented self-learning chatbots in production at Destygo.
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It was fascinating to other people interested in NLP about the
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technologies and models we deploy at work! It's always nice to have
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some feedback about our work, and preparing this talk forced me to
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take a step back about what we do and rethink it in new interesting
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ways.
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Also check out the
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[[https://nlpparis.wordpress.com/2019/03/29/paris-nlp-season-3-meetup-4-at-meilleursagents/][other
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presentations]], one about diachronic (i.e. time-dependent) word
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embeddings and the other about the different models and the use of
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Knowledge Bases for Information Retrieval. (This might even give us
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new ideas to explore...)
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If you're interested about exciting applications at the confluence of
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Reinforcement Learning and NLP, the slides are available
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[[https://drive.google.com/file/d/1aS1NpPxRzsQCsAqoQIVZrdf8R1Y2VKrT/view][here]]. It
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includes basic RL theory, how we transposed it to the specific case of
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conversational agents, the technical and mathematical challenges in
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implementing self-learning chatbots, and of course plenty of
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references for further reading if we piqued your interest!
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**Update:** The videos are now available on the
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[[https://nlpparis.wordpress.com/2019/03/29/paris-nlp-season-3-meetup-4-at-meilleursagents/][NLP
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Meetup website]].
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