Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Abstract. We present a first system to semi-automatically create a visual representation for a given, short text. We first parse the input text, decompose it into suitable units,...
Katharina Schwarz, Pavel Rojtberg, Joachim Caspar,...
Abstract. This paper reports on the development of a finite state system for finding grammar errors without actually specifying the error. A corpus of Swedish text written by chi...
Sylvana Sofkova Hashemi, Robin Cooper, Robert Ande...
The START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of m...
Boris Katz, Deniz Yuret, Jimmy J. Lin, Sue Felshin...
We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...