Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...
This paper presents an efficient algorithm for gesture detection in lecture videos by combining visual, speech and electronic slides. Besides accuracy, response time is also cons...
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. This paper presents a completel...
Eva Cerezo, Isabelle Hupont, Cristina Manresa-Yee,...
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...