Taxonomy learning ― factoring the structure of a taxonomy into a semantic classification decision

机译：分类学学习-将分类的结构纳入语义分类决策

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摘要

The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The results of the study demonstrate that taxonomic similarity between nearest neighbors, in addition to their distributional similarity to the new word, may be useful evidence on which classification decision can be based.

机译：本文研究了利用词库的分类组织来提高将新词分类到其类别的准确性的各种可能性。研究结果表明，最近邻居之间的分类相似性，除了与新单词的分布相似之外，可能是分类决策可依据的有用证据。

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来源
《19th International Conference on Computational Linguistics Coling 2002 Vol.2 Aug 24-Sep 1, 2002 Taipei, Taiwan》|2002年|p.786-792|共7页
会议地点 Taipei Taiwan
作者
Viktor PEKAR; Steffen STAAB;
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作者单位

Bashkir State University Ufa, Russia, 450000;

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会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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1. Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning [J] . Kento Hayasaka, Incheon Paik 電子情報通信学会技術研究報告. サービスコンピューティング. Services computing . 2017,第75期

机译：通过显式语义分析和深机学习分类分类分类
2. Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS [J] . Peter J.H. Hulshof, Nikky Kortbeek, Richard J. Boucherie, Health system . 2012,第2期

机译：卫生保健中计划决策的分类分类：对OR / MS中最新技术的结构化审查
3. Classification of Questions and Learning Outcome Statements (LOS) into Bloom's Taxonomy (BT) by Similarity Measurements Towards Extracting of Learning Outcome from Learning Material [J] . Shadi Diab, Badie Sartawi International Journal of Managing Information Technology . 2017,第2期

机译：通过从学习材料中提取学习成果的相似性度量，将问题和学习成果陈述（LOS）分类到Bloom的分类法（BT）中
4. Taxonomy learning ― factoring the structure of a taxonomy into a semantic classification decision [C] . Viktor PEKAR, Steffen STAAB International conference on computational linguistics . 2002

机译：分类学习 - 将分类结构的结构分解成语义分类决策
5. Learning and Using Taxonomies for Visual and Olfactory Classification [D] . Griffin, Greg 2013

机译：学习和使用分类法进行视觉和嗅觉分类
6. From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification [O] . Bram Slabbinck, Willem Waegeman, Peter Dawyndt, 2010

机译：从分类学到系统发育学习：将16S rRNA基因数据整合到基于FAME的细菌分类中
7. Learning and using taxonomies for visual and olfactory classification [O] . Griffin Gregory Scott 2013

机译：学习和使用分类法进行视觉和嗅觉分类
8. Development of a Taxonomy of Sociocultural Factors that Influence Decision Making. [R] . Samms, C., Hill, S., Animashaun, A., 2015

机译：影响决策的社会文化因素分类学的发展。

Taxonomy learning ― factoring the structure of a taxonomy into a semantic classification decision

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