Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title gene...
We suggest a general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are e...
Craig Gentry, Zulfikar Ramzan, Stuart G. Stubblebi...
Software process and workflow languages are increasingly used to define loosely-coupled systems of systems. These languages focus on coordination issues such as data flow and c...
We pose the development of cognitively plausible models of human language processing as a challenge for computational linguistics. Existing models can only deal with isolated phen...
Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...