Presentation on theme: "May 26 – 30, 2008 Marrakech, Morocco LREC 2008 Language Resources and Evaluation Conferences Nemrava Jan, KIZI."— Presentation transcript:
May 26 – 30, 2008 Marrakech, Morocco LREC 2008 Language Resources and Evaluation Conferences Nemrava Jan, KIZI
LREC in numbers 6th edition of LREC (started in 1998, held every two years) First outside Europe More than 600 papers (papers+posters) More than 1000 participants
UEP contribution OntoImage Workshop organized by DFKI –http://www.dfki.de/~declerck/ontoimage.htmlhttp://www.dfki.de/~declerck/ontoimage.html –2 nd Workshop on Language Resources for Content- Based Image Retrieval Presentation of the work in WP5.4 –Text Mining Support for Semantic Indexing and Analysis of A/V Streams Main focus on combining textual descriptions and low-level visual features (colour, texture, etc.) of the images (Content Based Image Retrieval)
Interesting Talks at OntoImage Simone Santini (Universidad Autonoma de Madrid ) –Context-based Retrieval as an Alternative to Document Annotation Taha Osman (Nottingham Trent University) –Semantic-based Expansion of Image Retrieval Queries
Main conference 3 days, more than 600 papers (900 submissions) 4 oral and 1 poster sessions in parallel Keynote speech: Ricardo Baeza Yates: The Web as a Semantic Source –VP of Research for Europe and Latin America Lectures: From ASR on Khmer language to Wikis
Interesting Talks Ondřej Bojar, Miroslav Janíček, Zdeněk žabokrtský, Pavel Češka and Peter Beňa: CzEng 0.7: Parallel Corpus with Community- Supplied Translations Satoshi Sekine - Extended Named Entity Ontology with Attribute Information Torsten Zesch, Christof Müller and Iryna Gurevych: Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary Mari Carmen Suárez-Figueroa and Asunción Gómez-Pérez: Towards a Glossary of Activities in the Ontology Engineering Field Jordi Atserias, Hugo Zaragoza, Massimiliano Ciaramita and Giuseppe Attardi: Semantically Annotated Snapshot of the English Wikipedia Alessandra Potrich and Emanuele Pianta: L-ISA: Learning Domain Specific Isa-Relations from the Web
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