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| | Ask HN: How to get started on developing an enterprise AI assistant? | |
2 points by dmode on May 8, 2017 | hide | past | favorite | 6 comments
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| | I am planning on developing an enterprise focused AI assistant, that will answer common employee questions. I have decided to build a desktop app using Electron and Node JS / Javascript / Socket.io. I am working with a guy who is a data scientist and he knows AI and NLP. However, I am not sure whether I want to build the bot from scratch. Is there a common framework / open source library or other options that I can use to get a head start. Something that will have a basic UI and a simple framework which I can extend upon. I looked at Rocket Chat, but it appears completely built out and I am not comfortable deploying something where I won't know 90% of the code. |
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Short of that, there are a ton of places to start. You might start by reading all of the papers published by the folks behind the START question & answer system:
http://start.csail.mit.edu/index.php
If you can accept something that's fairly dumb, and requires a bit of up-front coding, you could just code up a chat-bot using AIML. Or you could start with a fairly dumb AIML bot and incorporate additional techniques over time. You could probably tie in OpenNLP or CoreNLP or something, figure out ways to use WordNet, ConceptNet, SyntaxNet, the OpenCyc knowledgebase, dbPedia, Wikidata, etc. and make something that could answer a lot of questions. Figuring out how to make it learn is a much bigger challenge, as is integrating all of the various ML/AI techniques out there that might be applicable.
You might also get some mileage out of something like Quepy[1], a framework for translating natural language into structured queries (think, SPARQL, SQL, etc.)
If you just want to get your feet wet and start exploring, I'd look here:
http://www.alicebot.org/downloads/programs.html
If AIML bots aren't "smart" enough for you, start exploring other techniques.
[1]: https://github.com/machinalis/quepy