We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
Abstract. This paper presents a controlled language for ontology editing and a software implementation, based partly on standard NLP tools, for processing that language and manipul...
Adam Funk, Valentin Tablan, Kalina Bontcheva, Hami...
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be hand...