Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
Organizations today collect and store large amounts of data in various formats and locations. However they are sometimes required to locate all instances of a certain type of data....
In this paper, we present a software framework, called HDS (Heterogeneous Distributed System), that tries to simplify the realization of distributed applications and, in particular...
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...