@inproceedings{xue-etal-2008-annotating,
title = "Annotating {``}tense{''} in a Tense-less Language",
author = "Xue, Nianwen and
Zhong, Hua and
Chen, Kai-Yun",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/877_paper.pdf",
abstract = "In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.",
}
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<abstract>In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.</abstract>
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%0 Conference Proceedings
%T Annotating “tense” in a Tense-less Language
%A Xue, Nianwen
%A Zhong, Hua
%A Chen, Kai-Yun
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F xue-etal-2008-annotating
%X In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/877_paper.pdf
Markdown (Informal)
[Annotating “tense” in a Tense-less Language](http://www.lrec-conf.org/proceedings/lrec2008/pdf/877_paper.pdf) (Xue et al., LREC 2008)
ACL
- Nianwen Xue, Hua Zhong, and Kai-Yun Chen. 2008. Annotating “tense” in a Tense-less Language. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).