Work

Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources

Year: 2014

Type: conference-paper

Abstract: This paper presents a Named Entity Recognition system for German based on Conditional Random Fields.The model also includes language-independant features and features computed form large coverage lexical resources.Along side the results themselves, we show that by adding linguistic resources to a probabilistic model, the results improve significantly. 1

Source: HAL

Authors: Watrin, Patrick, de Viron, Louis, Lebailly, Denis, Constant, Mathieu, Weiser, Stéphanie

Institutions: Laboratoire d'Informatique Gaspard-Monge, Université Paris-Est Marne-la-Vallée

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2885072606

FWCI: 0.581

Cites: 9

Cited by: 4

Related to: 10