Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts

被引：0

作者：

Ebling, Sarah ^{[1
]}

Sennrich, Rico ^{[1
]}

Klaper, David ^{[1
]}

机构：

[1] Univ Zurich, Inst Computat Linguist, CH-8050 Zurich, Switzerland

来源：

HUMAN LANGUAGE TECHNOLOGY CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS | 2014年 / 8387卷

关键词：

Named entity recognition; Person name recognition; Reference resolution; German;

D O I：

10.1007/978-3-319-08958-4_16

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 introduce a module that combines person name recognition and reference resolution for German. Our data consists of a corpus of Alpine texts. This text type poses specific challenges because of a multitude of toponyms, some of which interfere with person names. Our reference resolution algorithm outputs person entities based on their last names and first names along with their associated features (jobs, addresses, academic titles).

引用

页码：189 / 200

页数：12

共 3 条

[1] Applying named entity recognition and co-reference resolution for segmenting English texts
Fragkou P.
Progress in Artificial Intelligence, 2017, 6 (4) : 325 - 346
[2] THE FUNCTION OF NAME AND HISTORICAL CHANGE - OBSERVATIONS ON THE USE OF PERSONAL NAMES IN THE JOURNALISTIC TEXTS IN 1865-1981 - GERMAN - GYGER,M
CHRISTOPH, EM
INDOGERMANISCHE FORSCHUNGEN, 1993, 98 : 368 - 371
[3] Entity based Co-reference Resolution with Name Entity Recognition using Hierarchical Classification
Sonawane, Sheetal S.
Kulkarni, Parag A.
2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,

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