Update README.md

README.md

@@ -22,6 +22,8 @@ https://arxiv.org/abs/1711.09714
 
 The goal of the experiments was to explore learning methods that would ground the meaning of spoken words to the perception-action associations learned by a robot through experimentation.
 
+The code for the experiments can be found at https://github.com/giampierosalvi/AffordancesAndSpeech
+
 The recordings started in 2007, where later updated on 2010-01-28, and were finally uploaded to huggingface on 2025-09-22.
 
 ## Dataset Details
@@ -67,8 +69,6 @@ The list of symbols together with their meaning and the TIMA code to use them in
 
 ### Dataset Sources [optional]
 
-<!-- Provide the basic links for the dataset. -->
-
 - **Repository:** [More Information Needed]
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
@@ -147,6 +147,7 @@ https://arxiv.org/abs/1711.09714
 
 **BibTeX:**
 
+```
 @ARTICLE{6082460,
   author={Salvi, Giampiero and Montesano, Luis and Bernardino, Alexandre and Santos-Victor, José},
   journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)}, 
@@ -158,8 +159,10 @@ https://arxiv.org/abs/1711.09714
   keywords={Speech;Robot sensing systems;Speech recognition;Context;Computational modeling;Humans;Affordances;automatic speech recognition;Bayesian networks;cognitive robotics;grasping;humanoid robots;language;unsupervised learning},
   doi={10.1109/TSMCB.2011.2172420}
 }
+```
 
 **APA:**
+
 G. Salvi, L. Montesano, A. Bernardino and J. Santos-Victor, "Language Bootstrapping: Learning Word Meanings From Perception–Action Association," in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 42, no. 3, pp. 660-671, June 2012, doi: 10.1109/TSMCB.2011.2172420.
 
 ## Glossary [optional]