We describe the use of energy function optimisation in very shallow syntactic parsing. The approach can use linguistic rules and corpus-based statistics, so the strengths of both ...
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
This paper describes the participation of the University of Alicante in the new CL-SR Track at CLEF conference. In this track we introduce a set of features in the topics processi...
Rafael M. Terol, Manuel Palomar, Patricio Mart&iac...
Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically-ordered morass to find tweets ...
Michael S. Bernstein, Bongwon Suh, Lichan Hong, Ji...
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...