Back to Basics: CLASSY 2006

CLASSY Arabic and English Multi-Document Summarization

Our Multilingual Summarization Evaluation entries for MSE-2006 were based upon an improved version of our CLASSY (Clustering, Linguistics, And Statistics for Summarization Yield) system. Our two entries were systems 20 and 21 and represented approaches based upon extracts from a) only English documents and b) English and the translated Arabic documents (full clusters). This paper presents a bri...

Back to basics: primary immune deficiencies: windows into the immune system.

Getting Back to Basics

Advances in understanding basic developmental and physiological processes often have direct relevance to human disease. They provide insights into pathogenic mechanisms and reveal new pathways that can be exploited in diagnosis and the development of therapeutics.

CLASSY 2009: Summarization and Metrics

This year the CLASSY team participated in the update summary task and made four submissions to summarization evaluation (AESOP). Our AESOP submissions used combinations of ROUGE scores along with an update (or newness) score. We also use these new metrics, which we call Nouveau ROUGE, to help train our system and evaluate new ideas on computing update summaries. CLASSY (Clustering, Linguistics,...

Arabic/English Multi-document Summarization with CLASSY - The Past and the Future

Automatic document summarization has become increasingly important due to the quantity of written material generated worldwide. Generating good quality summaries enables users to cope with larger amounts of information. English-document summarization is a difficult task. Yet it is not sufficient. Environmental, economic, and other global issues make it imperative for English speakers to underst...