This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Automatic summarization evaluation is critical to the development of summarization systems. While ROUGE has been shown to correlate well with human evaluation for content match in...
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
Formally defining the knowledge units taught in a course helps instructors ensure a sound coverage of topics and provides an objective basis for comparing the content of two cours...
Michela Pedroni, Manuel Oriol, Bertrand Meyer, Luk...
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...