We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-party discourse transcripts. We show how Bayesian inference in this generative model can be used to simultaneously address the problems of topic segmentation and topic identification: automatically segmenting multi-party...

We propose an unsupervised method for automatically calculating word usage similarity in social media data based on topic modelling, which we contrast with a baseline distributional method and Weighted Textual Matrix Factorization. We evaluate these methods against a novel dataset made up of human ratings over 550 Twitter message pairs annotated for usage similarity for a set of 10 nouns. The r...

Background. Computerized treatment has evolved considerably over the past 30 years, reflecting changes in treatment strategies as well as advances in technology. The purpose of this report is to review past outcome research and provide direction for future computerized treatment for aphasia. Methods. Relevant literature is described using the five phase treatment outcome model (Robey & Shultz, ...

The proposed research defines a novel technique which applies an advanced Information Retrieval (IR) method to leverage textual information embedded in software artifacts in order to capture coupling between classes. More specifically, here we propose the use of new emerging IR techniques based on topic modeling, namely Relational Topic Model (RTM), to define a coupling metric useful for impact...

This paper discusses the work done by a team at the University of Florida for the TREC 2011 Microblog Track. To build a real-time microblog search engine we rely on topic modeling for our search. To facilicate our algorithms we bundle similar tweets together in what we call supertweet generation. We perform online inference and offline inference depending on the time frame of the topical query....

The word “antonymy” was coined in 1867 by CJ Smith to describe word-pairs commonly known as “opposites” such as hot/cold, girl/boy and buy/sell. Some linguists (e.g. Lyons (1977) and Cruse (1986)) apply the term “antonymy” restrictively and would only identify the first of these three pairs as being truly antonymous. However, this seems counter-intuitive in many respects, and this paper will us...

concomitant research and education are invaluable for patient care and medical practice in trauma. elucidation of a foundation for the integration of training and service that can be combined with research in trauma is crucial, and every trauma case should be studied for this purpose. in this study, we investigated the unique features of trauma research to formulate a generic comprehensive mode...

We present ongoing doctoral work on automatically understanding the positions of politicians with respect to those of the party they belong to. To this end, we use textual data, namely transcriptions of political speeches from meetings of the German Bundestag, and party manifestos, in order to automatically acquire the positions of political actors and parties, respectively. We discuss a variet...

Online discussion forums are virtual spaces for communities of users to discuss various topics. As an online discussion progresses, there is a tendency for comments to diverge from the initial topic, often degenerating into off-topic shouting matches. We would like to determine how this divergence happens, and identify comments that trigger this topic drift. We approach this problem by first bu...

in this paper, we analyze the effect of lack of capital investment on energy projects using game theory in the guise of cooperative games. we focus on the energy projects in the provincial level as case study during 2010-2011. therefore, we design a theoretical model of the lack of capital investment as a factor influencing the implement of energy projects. in the experimental section, we deter...