Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...
Protection of copyrights and revenues of content owners in the digital world has been gaining importance in the recent years. This paper presents a way of fingerprinting text docu...
Given the rapid rise of model-driven software development methodologies, it is highly desirable that tools be developed to support the use of design patterns in this context. This...
Hong Zhu, Ian Bayley, Lijun Shan, Richard Amphlett
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
For our fourth participation in the CLEF evaluation campaigns, our first objective was to propose an effective and general stopword list and a light stemming procedure for the Port...