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I need to create a system that converts natural language to SQL queries. I know this has been done before so I am trying to find an SDK, API, or company that has already done it instead of reinventing the wheel by trying to write it from scratch.
Most of the posts I find related to this topic are at least at couple of years old. Kueri.me seems to be a great solution but their downloads page isn't working and I can't find their SDK anywhere else online (their latest blog posts are also from 2016).
Any advice? What is currently the best solution to do NLP to SQL?
This paper tackles this problem and was recently nominated as best paper in a top conference.
They are gradually releasing and documenting code here: https://github.com/clic-lab/atis
EDIT
You could also use the OpenNMT library (https://github.com/OpenNMT/OpenNMT-py), to train a model to map natural language to SQL queries, if you have the training data.
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I am new to StackOverflow so please do correct me if I need to provide any more information.
I am trying to integrate an anomaly detection into the PostgreSQL database system by plugging into its backend.
I would like to know if there is any place where I can find extensive back-end coding or integration examples. I am looking at papers regarding this topic and, so far, I have found a few which talk about the methods that the queries are classified and used for anomaly detection.
If you do know about any websites which might help me, please do provide links to the sites.
Thanks!!
Look for "hooks" in the PostgreSQL source tree. Studying the source of the auto_explain and pg_stat_statements contrib modules, which track query execution, will show you the way.
The source is its own book: it is well-documented and interspersed with README files that explain the design.
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I use a software called RentalDesk NX that is built on top of Nexus DB. According to the help manual for Report Designer, I need to code in Object Pascal, but none of the functions I can find referenced online (such as RightStr, StrToDate, or YearOf) seem to work at all.
I've been working on a report for my accounting department and cannot find a good way to do date math. Does anyone have any insight as to what resource may actually be helpful to me?
I have already crossposted to the RentalDesk NX user community.
The RentalDesk NX report engine is based on digital metaphors' report engine see https://www.digital-metaphors.com/
The developers guide may help RBDeveloperGuide.zip or the learning Report Builder part of the web site https://www.digital-metaphors.com/download/learning_reportbuilder.html
As for the actual flavour of object pascal, I believe that it's based on remote objects Pascal script - but the best place to ask is probably the digital metaphors' news group news.digital-metaphors.com.
I don't know if you have a support contract for your copy of RentalDesk NX, but that would be IMHO the quickest route to specific questions e.g RightStr doesn't exist in Pascal script, you use Copy(string, start, end);
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I'm guessing this info is privileged since I couldn't find anything on Google's listed APIs. In fact I'd be amazed if it wasn't proprietary securely fastened Google magic, but thought I'd ask anyway.
Is there an Google API for the information appearing when you do a basic search for say an Actress or Rockband? You know the box that appears to the right of the results if google figures out exactly what you're looking for. (I'm specifically interested in musicians despite the example below)
I.e.
https://www.google.com/search?q=woody+allen
I can get similar milage using Freebase, but Google's is always better. For example, It'll even pull upcoming events if it's a Musician, etc.
The Freebase Topic API contains the bulk of what you're looking for.
e.g. https://www.googleapis.com/freebase/v1/topic/en/woody_allen
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I know Norman is working on the Netty 4 book as I've been following the tweets, but was wondering if there are any pieces available to help someone who hasn't worked with Netty 3. I have looked a little at the existing 3.x articles, but I think it would be easier to understand the primary components without having to learn 3.x and then mentally apply the New and Noteworthy section to bridge the gap.
For now, I'm just trying to go through the example/test code to see how it's used, but any overview/fundemental documentation would be great. If not, that's ok - just thought I'd check.
Thanks
There is nothing out there at the moment except what you find on the Blog and the javadocs. I'm currently working hard on getting the javadocs up-to-date before our next release, so you may find all you need in there. An other source of informations is like you said the example module which contains a lot examples for all kind of use-cases.
Hopefully the MEAP of the Netty book will start in not so far future. But we will see..
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Does anybody know if autotrader.com offers an API or something that would help with mass postings of vehicles?
Or does anybody have any idea of what to use to create something like this? I was thinking of maybe a mouse location and click over a browser window type of thing.
AutoTrader provides a bulk upload feature through a file feed process. The file runs through a set of processes to associate it with the proper listing tier (Premium, Feature or Standard) and in addition normalizes the information across vehicle make and models. This process runs several times daily and is being migrated to a near real-time solution for quicker add or updates.
I can find no documentation on it but I've come across this link which seems to provide a json response.
https://www.autotrader.com/rest/searchresults/sunset/base