Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. Examples of such applications are rating new bo...
We examine the viability of building large polarity lexicons semi-automatically from the web. We begin by describing a graph propagation framework inspired by previous work on con...
Leonid Velikovich, Sasha Blair-Goldensohn, Kerry H...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Dialogue Acts have been well studied in linguistics and attracted computational linguistics research for a long time: they constitute the basis of everyday conversations and can b...
Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...