@inproceedings{mendes-etal-2012-evaluating,
title = "Evaluating the Impact of Phrase Recognition on Concept Tagging",
author = "Mendes, Pablo and
Daiber, Joachim and
Rajapakse, Rohana and
Sasaki, Felix and
Bizer, Christian",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do\u gan, Mehmet U\u gur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L12-1307/",
pages = "1277--1280",
abstract = "We have developed DBpedia Spotlight, a flexible concept tagging system that is able to annotate entities, topics and other terms in natural language text. The system starts by recognizing phrases to annotate in the input text, and subsequently disambiguates them to a reference knowledge base extracted from Wikipedia. In this paper we evaluate the impact of the phrase recognition step on the ability of the system to correctly reproduce the annotations of a gold standard in an unsupervised setting. We argue that a combination of techniques is needed, and we evaluate a number of alternatives according to an existing evaluation set."
}
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%0 Conference Proceedings
%T Evaluating the Impact of Phrase Recognition on Concept Tagging
%A Mendes, Pablo
%A Daiber, Joachim
%A Rajapakse, Rohana
%A Sasaki, Felix
%A Bizer, Christian
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet U\u gur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F mendes-etal-2012-evaluating
%X We have developed DBpedia Spotlight, a flexible concept tagging system that is able to annotate entities, topics and other terms in natural language text. The system starts by recognizing phrases to annotate in the input text, and subsequently disambiguates them to a reference knowledge base extracted from Wikipedia. In this paper we evaluate the impact of the phrase recognition step on the ability of the system to correctly reproduce the annotations of a gold standard in an unsupervised setting. We argue that a combination of techniques is needed, and we evaluate a number of alternatives according to an existing evaluation set.
%U https://aclanthology.org/L12-1307/
%P 1277-1280
Markdown (Informal)
[Evaluating the Impact of Phrase Recognition on Concept Tagging](https://aclanthology.org/L12-1307/) (Mendes et al., LREC 2012)
ACL
- Pablo Mendes, Joachim Daiber, Rohana Rajapakse, Felix Sasaki, and Christian Bizer. 2012. Evaluating the Impact of Phrase Recognition on Concept Tagging. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1277–1280, Istanbul, Turkey. European Language Resources Association (ELRA).