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J. Lafferty and R. Mercer, "Automatic word classification using features of spellings," Proceedings of the 9th Annual Conference of the University of Waterloo Centre for the New OED and Text Research, Oxford University Press, Oxford, England, 1993.

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This paper is cited in the following contexts:
IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE.. - Stephen Della Pietra (1980)   (28 citations)  Self-citation (Lafferty)   (Correct)

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J. Lafferty and R. Mercer, "Automatic word classification using features of spellings," Proceedings of the 9th Annual Conference of the University of Waterloo Centre for the New OED and Text Research, Oxford University Press, Oxford, England, 1993.


Inducing Features Of Random Fields - Pietra, Pietra, Lafferty (1995)   (103 citations)  Self-citation (Lafferty)   (Correct)

....ends in ism or contains ian, and profit from how these features are used for other words in similar contexts. In this section we describe how we applied the random field induction algorithm to discover morphological features of words, and we present sample results. This technique was used in [27] to improve mutual information clustering. In Section 5.1 we formlate the problem in terms of the notation and results of Sections 2, 3, and 4. In Section 5.2 we describe how the field induction algorithm is actually carried out in this application. In Section 5.3 we explain the results of the ....

J. Lafferty and R. Mercer, "Automatic word classification using features of spellings," Proceedings of the 9th Annual Conference of the University of Waterloo Centre for the New OED and Text Research, Oxford University Press, Oxford, England, 1993.


Inducing Features of Random Fields - Pietra, Pietra, Lafferty (1997)   (103 citations)  Self-citation (Lafferty)   (Correct)

....exhibit, as well as negative features which do not appear in the sample, or appear only rarely. A description of how the resulting features 8 IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 4, APRIL 1997 were used to improve mutual information clustering is given in [20], and is beyond the scope of the present paper; we refer the reader to [6] 20] for a more detailed treatment of this topic. In Section 5.1 we formulate the problem in terms of the notation and results of Sections 2, 3, and 4. In Section 5.2 we describe how the field induction algorithm is ....

....appear only rarely. A description of how the resulting features 8 IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 4, APRIL 1997 were used to improve mutual information clustering is given in [20] and is beyond the scope of the present paper; we refer the reader to [6] [20] for a more detailed treatment of this topic. In Section 5.1 we formulate the problem in terms of the notation and results of Sections 2, 3, and 4. In Section 5.2 we describe how the field induction algorithm is actually carried out in this application. In Section 5.3 we explain the results of the ....

J. Lafferty and R. Mercer, "Automatic word classification using features of spellings," Proceedings of the 9th Annual Conference of the University of Waterloo Centre for the New OED and Text Research, Oxford University Press, Oxford, England, 1993.

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