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Abstract: We discuss the advantages of lexicalized tree-adjoining grammar as an alternative to lexicalized PCFG for statistical parsing, describing the induction of a probabilistic LTAG model from the Penn Treebank and evaluating its parsing performance. We find that this induction method is an improvement over the EM-based method of (Hwa, 1998), and that the induced model yields results comparable to lexicalized PCFG. (Update)
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...includes subtrees in which more and than are the only frontier words. One may object that this example is somewhat far fetched, but Chiang (2000) notes that head lexicalized stochastic grammars fall short in encoding even simple dependency relations such as between left and John...
...[40] has built a substantial English TAG lexicon which covers an extensive number of English constructions. In addition, Xia [39] Chiang [8] and Chen and Vijay Shanker [7] have acquired TAG lexicons from the Penn Treebank [21] Doran and Srinivas [12] induced a CCG lexicon from...
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BibTeX entry: (Update)
David Chiang. 2000. Statistical parsing with an automatically-extracted tree adjoining grammar. http://citeseer.ist.psu.edu/chiang00statistical.html More
@misc{ chiang00statistical,
author = "D. Chiang",
title = "Statistical parsing with an automatically-extracted tree adjoining grammar",
text = "David Chiang. 2000. Statistical parsing with an automatically-extracted
tree adjoining grammar.",
year = "2000",
url = "citeseer.ist.psu.edu/chiang00statistical.html" }
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Documents on the same site (http://www.cis.upenn.edu/~tides/):
Two Statistical Parsing Models Applied to the Chinese Treebank - Bikel, Chiang (2000) (Correct)
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