update links to md files

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Percy Liang 2014-12-21 20:02:27 -08:00
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# SEMPRE 2.0 documentation
This document describes SEMPRE 2.0 in detail. See
[TUTORIAL.md](TUTORIAL.md) for a more engaging introduction. This document
[the tutorial](TUTORIAL.md) for a more engaging introduction. This document
assumes a modest understanding of how SEMPRE works.
If you find any bugs, please report them or fix them (file a GitHub issue or

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## Where do I go next?
- If you're new to semantic parsing, you can learn more from the [background
reading section of the
tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md).
reading section of the tutorial](TUTORIAL.md).
- Install SEMPRE using the instructions under **Installation** below.
- Walk through the
[tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md)
- Walk through the [tutorial](TUTORIAL.md)
to get a hands-on introduction to semantic parsing through SEMPRE.
- Read the complete
[documentation](http://github.com/percyliang/sempre/blob/master/DOCUMENTATION.md)
- Read the complete [documentation](DOCUMENTATION.md)
to learn about the different components in SEMPRE.
# Installation
@ -111,8 +108,8 @@ similar your system is.
(execute (call + (number 3) (number 4)))
To go further, check out the
[tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md).
To go further, check out the [tutorial](TUTORIAL.md) and then the [full
documentation](DOCUMENTATION.md).
## Virtuoso graph database

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In this tutorial, we will provide a brief tour of SEMPRE. This tutorial is
very much about the mechanics of the system, not about the linguistics or
semantic parsing from a research point of view (for those, see the recommended
readings at the end of this document). For the full documentation, see
[DOCUMENTATION.md](https://github.com/percyliang/sempre/blob/master/DOCUMENTATION.md).
readings at the end of this document). Once you have gone through the tutorial,
you can read the [full documentation](DOCUMENTATION.md).
We will construct a semantic parser to understand a toy subset of natural
language. Concretely, the system we will build will have the following
@ -564,8 +564,8 @@ First, pull the dependencies needed for Freebase:
We use the graph database engine, Virtuoso, to store these triples and allow
querying. Follow these instructions if you want to create your own Virtuoso instance.
First, make sure you have Virtuoso installed (see Installation section of the
README.md).
First, make sure you have Virtuoso installed — see the Installation
section of the [readme](README.md).
Then start the server: