ACL 2011
TextGraphs is at its SIXTH edition! This shows that two seemingly distinct disciplines, graph theoretic models and computational linguistics, are in fact intimately connected, with a large variety of Natural Language Processing (NLP) applications adopting efficient and elegant solutions from graph-theoretical framework. The TextGraphs workshop series addresses a broad spectrum of research areas and brings together specialists working on graph-based models and algorithms for NLP and computational linguistics, as well as on the theoretical foundations of related graph-based methods. This workshop series is aimed at fostering an exchange of ideas by facilitating a discussion about both the techniques and the theoretical justification of the empirical results among the NLP community members.

Special Theme: "Graphs in Structured Input/Output Learning"

Recent work in machine learning has provided interesting approaches to globally represent and process structures, e.g.: