A model capturing the data manipulation capabilities of a large class of methods in ohjectoriented databases is proposed and investsigated. The model uses a deterministic, paralle...
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...
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections co...
Nicolas Moreau, Olivier Hamon, Djamel Mostefa, Sop...
Traditional research on spelling correction in natural language processing and information retrieval literature mostly relies on pre-defined lexicons to detect spelling errors. Bu...