Rule-based extraction of experimental evidence in the biomedical domain: the KDD Cup 2002 (task 1)

Authors:
Yizhar Regev;Michal Finkelstein-Landau;Ronen Feldman;Maya Gorodetsky;Xin Zheng;Samuel Levy;Rosane Charlab;Charles Lawrence;Ross A. Lippert;Qing Zhang;Hagit Shatkay
Affiliations:
ClearForest Ltd., Or Yehuda, Israel;ClearForest Ltd., Or Yehuda, Israel;ClearForest Corp., New York, NY;ClearForest Ltd., Or Yehuda, Israel;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD;Celera/ABI, Rockville, MD
Venue:
ACM SIGKDD Explorations Newsletter
Year:
2002

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Abstract

Below we describe the winning system that we built for the KDD Cup 2002 Task 1 competition. Our system is a Rule-based Information Extraction (IE) system. It combines pattern matching, Natural Language Processing (NLP) tools, semantic constraints based on the domain and the specific task, and a post-processing stage for making the final curation decision based on the various evidence (positive and negative) found within the document. Development and implementation were made using the DIAL IE language and the ClearLab development environment. The results achieved were significantly superior than those achieved using categorization approaches.