A divide-and-conquer approach to acquire syntactic categories

被引：0

作者：

Gamallo, P ^{[1
]}

Lopes, GP ^{[1
]}

Da Silva, JF ^{[1
]}

机构：

[1] Univ Nova Lisboa, Fac Ciencias & Tecnol, CITI, Lisbon, Portugal

来源：

GRAMMATICAL INFERENCE: ALGORITHMS AND APPLICATIONS, PROCEEDINGS | 2004年 / 3264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：

In this paper we propose an unsupervised strategy for learning syntactic information that proceeds in several steps. First, we identify, cluster, and classify function words from unannotated corpora. Then, the acquired information is used in two different learning processes. On the one hand, it is used to learn morpho-syntactic categories of nouns and, on the other, it turns out to be useful to also induce syntactic/semantic relationships between content words. Experiments performed on Portuguese and English corpora are reported.

引用

页码：151 / 162

页数：12

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