We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
Complex documents stored in a flat or partially marked up file format require layout sensitive preprocessing before any natural language processing can be carried out on their tex...
Abstract. Studies of different term extractors on a corpus of the biomedical domain revealed decreasing performances when applied to highly technical texts. Facing the difficulty o...
There is an increasing need for automated conversion of high-level design descriptions into hardware. We present a flow that converts a software application written in the Brook ...
Franjo Plavec, Zvonko G. Vranesic, Stephen Dean Br...