Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Comparing a linguistic and a stochastic tagger
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Man vs. machine: a case study in base noun phrase learning
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Issues in Learning Language in Logic
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
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Much recent research activity has focused toward automatically extracting linguistic information from on-line corpora. There is no question that great progress has been made applying machine learning to computational linguistics. We believe now that the field has matured, it is time to look inwards and carefully examine the basic tenets of the corpus-based learning paradigm. The goal of this paper is to raise a number of issues that challenge the paradigm in hopes of stimulating introspection and discussion that will make the field even stronger.