Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
Li Zhang, Marco Gillies, John A. Barnden, Robert J...
We present an unsupervised method for detecting grammatical errors by inferring negative evidence from edited textual corpora. The system was developed and tested using essay-leng...
Abstract The paper overviews the vandalism detection task of the PAN’11 competition. A new corpus is introduced which comprises about 30 000 Wikipedia edits in the languages Engl...
Workspace awareness has emerged as a new coordination paradigm in software configuration management systems, enabling the early detection of potential conflicts by providing devel...
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...