Automatic selection of heterogeneous syntactic features in semantic similarity of Polish nouns

被引：0

作者：

Piasecki, Maciej ^{[1
]}

Szpakowicz, Stanislaw ^{[2
,3
]}

Broda, Bartosz ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Inst Appl Informat, PL-50370 Wroclaw, Poland

[2] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada

[3] Polish Acad Sci, Inst Comp Sci, PL-00901 Warsaw, Poland

来源：

TEXT, SPEECH AND DIALOGUE, PROCEEDINGS | 2007年 / 4629卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present experiments with a variety of corpus-based measures applied to the problem of constructing semantic similarity functions for Polish nouns. Rich inflection in Polish allows us to acquire useful syntactic features without parsing; morphosyntactic restrictions checked in a large enough window provide sufficiently useful data. A novel feature selection method gives the accuracy of 86% on the WordNet-based synonymy test, an improvement of 5% over the previous results.

引用

页码：99 / +

页数：3

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