Multi-pass Sieve Coreference Resolution System for Polish

被引：1
|
作者：
Niton, Bartlomiej [1 ]
Ogrodniczuk, Maciej [1 ]
机构：
[1] Polish Acad Sci, Inst Comp Sci, Ul Jana Kazimierza 5, PL-01248 Warsaw, Poland
来源：
LANGUAGE, DATA, AND KNOWLEDGE, LDK 2017 | 2017年 / 10318卷
关键词：
Coreference resolution; BART; The Stanford's multi-pass sieve architecture; Polish language; Knowledge-based resources;
D O I：
10.1007/978-3-319-59888-8_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper examines the portability of Stanford's multi-pass rule-based sieve coreference resolution system to inflectional language (Polish) with a different annotation scheme. The presented system is implemented in BART, a modular toolkit later adapted to the sieve architecture by Baumann et al. The sieves for Polish include processing of zero subjects and experimental knowledge-intensive sieve using the newly created database of periphrastic expressions. Evaluation shows that the results for Polish are higher than those seen on the CoNLL-2011/2012 data.
引用
收藏
页码：222 / 236
页数：15
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