tailieunhanh - Báo cáo khoa học: "Event-coreference across Multiple, Multi-lingual Sources in the Mumis Project"

We present our work on information extraction from multiple, multi-lingual sources for the Multimedia Indexing and Searching Environment (MUMIS), a project aiming at developing technology to produce formal annotations about essential events in multimedia programme material. The novelty of our approach consists on the use of a merging or cross-document coreference algorithm that aims at combining the output delivered by the information extraction systems. ing by applying information extraction to multimedia and multi-lingual information sources in Dutch, English, and German, merging information from many sources to improve indexing quality, and combining database queries with direct access to multimedia fragments. | Event-coreference across Multiple Multi-lingual Sources in the Mumis Project Horacio Saggion and Jan Kuper Hamish Cunningham and Thierry Declerck and Peter Wittenburg Marco Puts and Eduard Hoenkamp and Franciska de Jong and Yorick Wilks University of Sheffield United Kingdom University of Twente The Netherlands DFKI Germany MPI The Netherlands University of Nijmegen The Netherlands saggion@ - jankuper@ hamish@ - declerck@ - yorick@ - fdejong@ puts@ - hoenkamp@ Abstract We present our work on information extraction from multiple multi-lingual sources for the Multimedia Indexing and Searching Environment MUMIS a project aiming at developing technology to produce formal annotations about essential events in multimedia programme material. The novelty of our approach consists on the use of a merging or cross-document coreference algorithm that aims at combining the output delivered by the information extraction systems. 1 Overview of MUMIS The vast amount of multimedia information available and the need to access its essential content accurately to satisfy users demands encourages the development of techniques for automatic multimedia indexing and searching. It is well known that there are no effective methods for automatic indexing and retrieving of image and video fragments on the basis of analysis of their visual features. Many research projects therefore have explored the use of collateral textual descriptions of the multimedia information for automatic tasks such as indexing classifying or understanding. The Multimedia Indexing and Searching Environment MUMIS Project carries out index ing by applying information extraction to multimedia and multi-lingual information sources in Dutch English and German merging information from many sources to improve indexing quality and combining database queries with direct access to multimedia fragments on the .