Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Parsing is a computationally intensive task due to the combinatorial explosion seen in chart parsing algorithms that explore possible parse trees. In this paper, we propose a meth...
We propose a novel method for Japanese dependency analysis, which is usually reduced to the construction of a dependency tree. In deterministic approaches to this task, dependency...