The combination of evidence can increase retrieval effectiveness. In this paper, we investigate the effectiveness of a decision mechanism for the selective combination of evidence...
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
We present TweetMotif, an exploratory search application for Twitter. Unlike traditional approaches to information retrieval, which present a simple list of messages, TweetMotif g...