README, cv script

1 files changed, 8 insertions, 7 deletions

diff --git a/README.md b/README.md
index 182195e..3e509f4 100644
--- a/README.md
+++ b/README.md
@@ -2,30 +2,30 @@ rebol
 =====
 
 Code for grounded SMT on geoquery data.
-(This has nothing to do with the programming language REBOL! http://www.rebol.com/ )
+(This has nothing to do with the programming language REBOL! [0])
 
 
 Dependencies
 ------------
 
-*WASP*-1.0 includes the geoquery knowledge base and scripts for querying it.
+_WASP_-1.0 includes the geoquery knowledge base and scripts for querying it.
 The evaluation scripts were slightly modified to include the full output.
 These scripts are in data/geoquery/wasp/, they go into wasp-1.0/data/geo-funql/eval/.
 WASP-1.0 can be downloaded from here [1].
 
-You'll also need some *Prolog* environment, e.g. SWI-Prolog [2].
+You'll also need some _Prolog_ environment, e.g. SWI-Prolog [2].
 
-We use the a slightly modified implementation of *smt-semparse*,
+We use the a slightly modified implementation of _smt-semparse_,
 as described in 'Semantic parsing as machine translation' (Andreas et al, ACL 2013).
 Our fork can be found here [3]. This depends on more stuff, e.g. the Moses decoder
 and SRILM.
 
-For translation we use the *cdec* toolkit, [4].
+For translation we use the _cdec_ toolkit, [4].
 
 As semantic parsing is quite slow and rebol does it quite often,
-results are cached with *memcached* [5].
+results are cached with _memcached_ [5].
 
-You'll also need the following *ruby gems*:
+You'll also need the following _ruby gems_:
  * https://rubygems.org/gems/memcached
  * http://rubygems.org/gems/nlp_ruby
  * http://trollop.rubyforge.org/
@@ -33,6 +33,7 @@ You'll also need the following *ruby gems*:
 
 
 ---
+[0] http://www.rebol.com/
 [1] http://www.cs.utexas.edu/~ml/wasp/wasp-1.0.tar.bz2
 [2] http://www.swi-prolog.org/
 [3] https://github.com/pks/smt-semparse