New graduates on adaptive tree processing

Congratulations (with some delay) to my students who graduated with two theses on the LISTIT project.

Valerio De Caro extended the Hidden Markov Tree Network and developed an efficient implementation of the model.

Michele Colombo developed a Conditional Variational Autoencoder for learning tree to treeĀ  transductions with application to machine translation.