In this paper, we propose a new user interface to interactively specify Web wrappers to extract relational information from Web documents. In this study, we focused on improving u...
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
Michele Banko, Michael J. Cafarella, Stephen Soder...
In this paper, we describe KES, a system that integrates text categorisation and information extraction in order to extract key elements of information from particular types of doc...
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...