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Parser evaluation and the BNC: evaluating 4 constituency parsers with 3 metrics

Foster, Jennifer and van Genabith, Josef (2008) Parser evaluation and the BNC: evaluating 4 constituency parsers with 3 metrics. In: LREC 2008 - Sixth International Conference on Language Resources and Evaluation, 28-30 May 2008, Marrakech, Morocco.

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We evaluate discriminative parse reranking and parser self-training on a new English test set using four versions of the Charniak parser and a variety of parser evaluation metrics. The new test set consists of 1,000 hand-corrected British National Corpus parse trees. We directly evaluate parser output using both the Parseval and the Leaf Ancestor metrics. We also convert the hand-corrected and parser output phrase structure trees to dependency trees using a state-of-the-art functional tag labeller and constituent-to-dependency conversion tool, and then calculate label accuracy, unlabelled attachment and labelled attachment scores over the dependency structures. We find that reranking leads to a performance improvement on the new test set (albeit a modest one). We find that self-training using BNC data leads to significantly better results. However, it is not clear how effective self-training is when the training material comes from the North American News Corpus.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:parser;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, IRCSET P/04/232, Science Foundation Ireland, SFI 04/IN/1527
ID Code:15191
Deposited On:16 Feb 2010 14:17 by DORAS Administrator. Last Modified 27 Apr 2010 12:16

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