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Author, Editor

Author(s):

Hoffart, Johannes
Yosef, Mohamed Amir
Bordino, Ilaria
Fürstenau, Hagen
Pinkal, Manfred
Spaniol, Marc
Taneva, Bilyana
Thater, Stefan
Weikum, Gerhard

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Not MPG Author(s):

Bordino, Ilaria
Fürstenau, Hagen
Pinkal, Manfred
Thater, Stefan

Editor(s):





BibTeX cite key*:

HoffartEMNLP2011

Title, Booktitle

Title*:

Robust Disambiguation of Named Entities in Text


aida_emnlp.pdf (252.71 KB)

Booktitle*:

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

Event, URLs

URL of the conference:

http://conferences.inf.ed.ac.uk/emnlp2011/

URL for downloading the paper:

http://aclweb.org/anthology-new/D/D11/D11-1072.pdf

Event Address*:

Edinburgh, Scotland, UK

Language:

English

Event Date*
(no longer used):


Organization:

SIGDAT

Event Start Date:

27 July 2011

Event End Date:

31 July 2011

Publisher

Name*:

The Association for Computational Linguistics

URL:

http://www.aclweb.org/

Address*:

Stroudsburg, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

July

Pages:

793-803

Year*:

2011

VG Wort Pages:

11

ISBN/ISSN:


Sequence Number:

D11-1072

DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Disambiguating named entities in natural-language text maps mentions
of ambiguous names onto canonical entities like people or places,
registered in a knowledge base such as DBpedia or YAGO. This paper
presents a robust method for collective disambiguation, by
harnessing context from knowledge bases and using a new form of
coherence graph. It unifies prior approaches into a comprehensive
framework that combines three measures: the prior probability of an
entity being mentioned, the similarity between the contexts of a
mention and a candidate entity, as well as the coherence among
candidate entities for all mentions together. The method builds a
weighted graph of mentions and candidate entities, and computes a
dense subgraph that approximates the best joint mention-entity
mapping. Experiments show that the new method significantly
outperforms prior methods in terms of accuracy, with robust behavior
across a variety of inputs.

Keywords:

Named Entity Disambiguation, Knowledge Bases



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{HoffartEMNLP2011,
AUTHOR = {Hoffart, Johannes and Yosef, Mohamed Amir and Bordino, Ilaria and F{\"u}rstenau, Hagen and Pinkal, Manfred and Spaniol, Marc and Taneva, Bilyana and Thater, Stefan and Weikum, Gerhard},
TITLE = {Robust Disambiguation of Named Entities in Text},
BOOKTITLE = {Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing},
PUBLISHER = {The Association for Computational Linguistics},
YEAR = {2011},
ORGANIZATION = {SIGDAT},
PAGES = {793--803},
ADDRESS = {Edinburgh, Scotland, UK},
MONTH = {July},
}


Entry last modified by Anja Becker, 03/22/2012
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Editor(s)
[Library]
Created
08/09/2011 02:43:43 PM
Revisions
2.
1.
0.

Editor(s)
Anja Becker
Anja Becker
Johannes Hoffart

Edit Dates
22.03.2012 14:49:44
12.03.2012 13:37:25
09.08.2011 14:43:43

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