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  1. NIIテクニカル・レポート

NII Technical Report (NII-2015-004E):Distributional Learning of Some Nonlinear Tree Grammars

https://doi.org/10.20736/0002000329
https://doi.org/10.20736/0002000329
03bfe6eb-bfb3-4984-afb0-06fc8762f1aa
名前 / ファイル ライセンス アクション
15-004E.pdf NII Technical Report (NII-2015-004E):Distributional Learning of Some Nonlinear Tree Grammars (801 KB)
Item type レポート / Report(1)
公開日 2022-06-08
タイトル
言語 en
タイトル NII Technical Report (NII-2015-004E):Distributional Learning of Some Nonlinear Tree Grammars
言語
言語 eng
キーワード
言語 ja
主題Scheme Other
主題 テクニカルレポート
キーワード
言語 en
主題Scheme Other
主題 Technical Report
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
ID登録
ID登録 10.20736/0002000329
ID登録タイプ JaLC
著者 Clark, Alexander

× Clark, Alexander

en Clark, Alexander

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金沢, 誠

× 金沢, 誠

ja 金沢, 誠

en Kanazawa, Makoto

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Kobele, Gregory M.

× Kobele, Gregory M.

en Kobele, Gregory M.

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吉仲, 亮

× 吉仲, 亮

ja 吉仲, 亮

en Yoshinaka, Ryo

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抄録
内容記述タイプ Abstract
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.
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
出版者
言語 ja
出版者 国立情報学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-5597
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