This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person's po...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. While the quality of a summary is de...
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...