In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...
The understanding of novel compounds is a special case in which we can explore the deep generativity of natural language understanding. We report a model, PUNC, which captures the ...
This paper presents an approach to spoken Chinese language paraphrasing based on feature extraction and techniques of language generation. In this approach, an input utterance is ...
This paper presents a method for converting back and forth between the Perso-Arabic and a Romanized writing systems for Persian. Given a word in one writing system, we use finite ...
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...