This paper addresses the issue of text normalization, an important yet often overlooked problem in natural language processing. By text normalization, we mean converting ‘inform...
Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tieju...
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
A broad range of industries must be able to seamlessly integrate control applications using sensors distributed in the real world and IT applications supporting various business a...
Many large-scale Internet applications optimize their overlay network to reduce latencies. Embedding coordinate systems like Vivaldi are valuable tools for this new range of applic...