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Author Broscheit, Samuel ♦ Poesio, Massimo ♦ Ponzetto, Simone Paolo ♦ Rodriguez, Kepa Joseba ♦ Romano, Lorenza ♦ Uryupina, Olga ♦ Versley, Yannick ♦ Zanoli, Roberto ♦ Kessler, Fondazione Bruno
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Novel Entitymention Approach ♦ Coreference Resolution ♦ Modular Toolkit ♦ Semantic Tree ♦ State-of-the-art Statistical Approach ♦ Semeval Task ♦ Multilingual Anaphora Resolution System ♦ Maximum Entropy-based Classifier ♦ Enables Efficient Feature Engineering
Description BART (Versley et al., 2008) is a highly modular toolkit for coreference resolution that supports state-of-the-art statistical approaches and enables efficient feature engineering. For the SemEval task 1 on Coreference Resolution, BART runs have been submitted for German, English, and Italian. BART relies on a maximum entropy-based classifier for pairs of mentions. A novel entitymention approach based on Semantic Trees is at the moment only supported for English. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2010-01-01
Publisher Institution In Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval’10