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Many theorists have dismissed a priori the idea that distributional information could play a significant role in syntactic category acquisition. We demonstrate empirically that such information provides a powerful cue to syntactic category membership, which can be exploited by a variety of simple, psychologically plausible mechanisms. We present a range of(More)
In this paper we describe an architecture and functionality of main components of a workbench for an acquisition of domain knowledge from large text corpora. The workbench supports an incremental process of corpus analysis starting from a rough automatic extraction and organization of lexico-semantic regularities and ending with a computer supported(More)
This paper describes a novel paradigm for representing many types of information about documents in a manner particularly suited to text categorization by a trivial empirical rule induction system. It also has potential application to full-text retrieval paradigms. The paradigm allows many different types of document predicates to be combined together with(More)
Consider the hypercube [0, 1] n in R n. This has 2 n vertices and volume 1. Pick N = N (n) vertices independently at random, form their convex hull, and let V n be its expected volume. How large should N (n) be to pick up significant volume ? Let κ = 2/ √ e ≈ 1.213, and let > 0. We shall show that, as n → ∞, V n → 0 if N (n) ≤ (κ −) n , and V n → 1 if N (n)(More)
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