In this paper, we present a deterministic dependency structure analyzer for Chinese. This analyzer implements two algorithms – Yamada and Nivre models – and two sorts of class...
Abstract. This paper presents an extension of disjunctive datalog (Datalog∨ ) by nested rules. Nested rules are (disjunctive) rules where elements of the head may be also rules. ...
This paper classifies distinctive phenomena occurring in Japanese spontaneous speech, and proposes a grammar and processing techniques for handling them. Parsers using a grammar f...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...