Hans van Halteren, Jakub Zavrel, and Walter Daelemans. 2001. Improving accuracy in word class tagging through combination of machine learning systems. Computational Linguistics, 27(2):199--230. Home/Search Document Details and Download
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Van Halteren, H., Zavrel, J. and Daelemans, W. (2001), Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems, Computational Linguistics 27(3), 199--229.
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....2000) For this task, I use a three stage architecture: I first run five different base chunkers, then combine them and finally try to correct some recurring errors. Except for one base chunker, which uses the memory based machine learning system TiMBL, 1 all modules are based on WPDV models (van Halteren, 2000a) 2 Architecture components The first stage of the chunking architecture consists of five different base chunkers: 1) As a baseline, I use a stacked TiMBL model. For the first level, following Daelemans et al. 1999) I use as features all words and tags in a window ranging from five tokens ....
....are of course those suggested by the model itself, not the true ones. preceding chunk is of the same type, and with an I tag otherwise. 5) In the LOB WPDV model, the Penn wordclass tags (as produced by the Brill tagger) are replaced by the output of a WPDV tagger trained on 90 of the LOB corpus (van Halteren, 2000b) For all WPDV models, the number of features is too high to be handled comfortably by the current WPDV implementation. For this reason, I use a maximum feature subset size of four and a threshold frequency of two. 3 The second stage consists of a combination of the outputs of the five base ....
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H. van Halteren, J. Zavrel, and W. Daelemans. To appear. Improving accuracy in wordclass tagging through combination of machine learning systems. Computational Linguistics. E. F. Tjong Kim Sang. 2000. Noun phrase recognition by system combination. In Proceedings of the ANLP-NAACL 2000. Seattle, Washington, USA. Morgan Kaufman Publishers.
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Hans van Halteren, Jakub Zavrel, and Walter Daelemans. 2001. Improving accuracy in word class tagging through combination of machine learning systems. Computational Linguistics, 27(2):199--230.
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H. van Halteren, J. Zaviel, and W. Daelemans, "Improving accuracy in word class tagging through combination of machine learning systems," Computational Linguistics, vol. 27, no. 2, pp. 199--230, 2001.
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van Halteren, Hans, J.Z., Daelemans, W.: Improving accuracy in word class tagging through combination of machine learning systems. Computational Linguistics 27 (2) (2001) 199--230
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