Update README.md

Author: pasqLisena

README.md

@@ -1,7 +1,17 @@
 MIDI2vec: Learning Embeddings for MIDI Vector Space Representations
 ===================================================================
 
-Compute graph embeddings from MIDI. Pre-computed MIDI embeddings for reliable prediction of metadata (i.e. supervised learning) are available [here](https://github.com/pasqLisena/midi-embs).
+Compute graph embeddings from MIDI.
+
+This library is described in detail in the following paper
+
+> Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy. **MIDI2vec: Learning MIDI Embeddings for
+> Reliable Prediction of Symbolic Music Metadata**, to appear in *Semantic Web Journal, Special Issue on Deep Learning for Knowledge Graphs*, 2021.
+> http://www.semantic-web-journal.net/content/midi2vec-learning-midi-embeddings-reliable-prediction-symbolic-music-metadata-0
+
+The experiments described in the paper are available [here](https://github.com/pasqLisena/midi-embs).
+
+Pre-computed MIDI embeddings used in the paper are available in [Zenodo](https://zenodo.org/record/5082300).
 
 
 # Usage
@@ -14,7 +24,6 @@ Convert a MIDI file into a graph, in edgelist format.
 
 Requires [Node.js](https://nodejs.org/en/):
 
-
     cd midi2edgelist
 
     npm install
@@ -50,9 +59,3 @@ Optional arguments:
 - `--iter` Number of epochs in word2vec. Default: 5;
 - `--workers` Number of parallel workers. Default: 0 (full use);
 - `--exclude` Edgelists to be excluded from the computation.
-
-
-# Publications
-
-Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy. *MIDI2vec: Learning MIDI Embeddings for
-Reliable Prediction of Symbolic Music Metadata*, under submission (2021).