Item type |
レポート / Report(1) |
公開日 |
2022-06-08 |
タイトル |
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タイトル |
NII Technical Report (NII-2015-004E):Distributional Learning of Some Nonlinear Tree Grammars |
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言語 |
en |
言語 |
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言語 |
eng |
キーワード |
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言語 |
ja |
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主題Scheme |
Other |
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主題 |
テクニカルレポート |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Technical Report |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
ID登録 |
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ID登録 |
10.20736/0002000329 |
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ID登録タイプ |
JaLC |
著者 |
Clark, Alexander
金沢, 誠
Kobele, Gregory M.
吉仲, 亮
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
A key component of Clark and Yoshinaka's distributional learning algorithms is the extraction of substructures and contexts contained in the input data. This problem often becomes intractable with nonlinear grammar formalisms due to the fact that more than polynomially many substructures and/or contexts may be contained in each object. Previous works on distributional learning of nonlinear grammars avoided this difficulty by restricting the substructures or contexts that are made available to the learner. In this paper, we identify two classes of nonlinear tree grammars for which the extraction of substructures and contexts can be performed in polynomial time, and which, consequently, admit successful distributional learning in its unmodified, original form. |
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言語 |
en |
書誌情報 |
ja : NIIテクニカル・レポート
en : NII Technical Report
p. 1-37,
発行日 2015-10-06
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出版者 |
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出版者 |
国立情報学研究所 |
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言語 |
ja |
ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1346-5597 |