quepy

There are about an infinite number of answers to this question, and half the answers are really just more questions. Some of it depends on how "intelligent" you want it to be. Worst case, you'll have to invent AGI. 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

1. There is the Yahoo QA dataset that might be helpful. Also you can crawl specific websites for such questions 2. semi-manually come up with templates (a grammar for the questions). You have to analyse the dataset in a unsupervised way to find out the common patterns and sanatize the results. 3. maybe step 2 is enough. 4. markov networks are useful in this context but I can be wrong > A template should be translatable to a bunch of queries (e.g.: GraphQL format). Not the hard part I believe. Yes once you have the templates with typed variables (named entities, adjectives, etc...) like you describe you can write the code to search for the results. I doubt GraphQL is a good solution for that problem. You can't translate the templates into a search on the fly. It's a mapping that you need to build manually or automatically. I think in your

Quepy 0.2 now is able to generate queries in MQL for the Freebase knowledge base! Quepy is a python framework in which you can specify how to handle questions (in natural language) in order to generate a database query that answers them. Freebase is a HUGE database that contains A LOT of enciclopedic information about everything. You can find a tutorial here: http://quepy.readthedocs.org/en/latest/tutorial.html The full code here: http://github.com/machinalis/quepy And the full documentation here: http://quepy.readthedocs.org/ Demo: http://quepy.machinalis.com/