The automatic construction of large-scale corpora for summarization research
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Using hidden Markov modeling to decompose human-written summaries
Computational Linguistics - Summarization
Parsing engineering and empirical robustness
Natural Language Engineering
NLP-driven IR: evaluating performances over a text classification task
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Proceedings of the 18th international conference on World wide web
Named Entity Recognition Experiments on Turkish Texts
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
A hybrid named entity recognizer for Turkish
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multimedia Tools and Applications
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In this paper, a system, RitroveRAI, addressing the general problem of enriching a multimedia news stream with semantic metadata is presented. News metadata here are explicitly derived from transcribed sentences or implicitly expressed into a topical category automatically detected. The enrichment process is accomplished by searching the same news expressed by different agencies reachable over the Web. Metadata extraction from the alternative sources (i.e. Web pages) is similarly applied and finally integration of the sources (according to some heuristic of pertinence) is carried out. Performance evaluation of the current system prototype has been carried out on a large scale. It confirms the viability of the RitroveRAI approach for realistic (i.e. 24 hours) applications and continuous monitoring and metadata extraction from multimedia news data.