{"title":"基于多语言规则的德语NER信息抽取系统:分析与问题","authors":"Anna Druzhkina, A. Leontyev, M. Stepanova","doi":"10.18653/v1/W16-2704","DOIUrl":null,"url":null,"abstract":"This paper presents a rule-based approach to Named Entity Recognition for the German language. The approach rests upon deep linguistic parsing and has already been applied to English and Russian. In this paper we present the first results of our system, ABBYY InfoExtractor, on GermEval 2014 Shared Task corpus. We focus on the main challenges of German NER that we have encountered when adapting our system to German and possible solutions for them.","PeriodicalId":254249,"journal":{"name":"NEWS@ACM","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues\",\"authors\":\"Anna Druzhkina, A. Leontyev, M. Stepanova\",\"doi\":\"10.18653/v1/W16-2704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a rule-based approach to Named Entity Recognition for the German language. The approach rests upon deep linguistic parsing and has already been applied to English and Russian. In this paper we present the first results of our system, ABBYY InfoExtractor, on GermEval 2014 Shared Task corpus. We focus on the main challenges of German NER that we have encountered when adapting our system to German and possible solutions for them.\",\"PeriodicalId\":254249,\"journal\":{\"name\":\"NEWS@ACM\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NEWS@ACM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W16-2704\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NEWS@ACM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W16-2704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues
This paper presents a rule-based approach to Named Entity Recognition for the German language. The approach rests upon deep linguistic parsing and has already been applied to English and Russian. In this paper we present the first results of our system, ABBYY InfoExtractor, on GermEval 2014 Shared Task corpus. We focus on the main challenges of German NER that we have encountered when adapting our system to German and possible solutions for them.
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