@inproceedings{varasai-etal-2008-building,
title = "Building an Annotated Corpus for Text Summarization and Question Answering",
author = "Varasai, Patcharee and
Pechsiri, Chaveevan and
Sukvari, Thana and
Satayamas, Vee and
Kawtrakul, Asanee",
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/870_paper.pdf",
abstract = "We describe ongoing work in semi-automatic annotating corpus, with the goal to answer why-question in question answering system and give a construction of the coherent tree for text summarization. In this paper we present annotation schemas for identifying the discourse relations that hold between the parts of text as well as the particular textual of span that are related via the discourse relation. Furthermore, we address several tasks in building the annotated corpus in discourse level, namely creating annotated guidelines, ensuring annotation accuracy and evaluating.",
}
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%0 Conference Proceedings
%T Building an Annotated Corpus for Text Summarization and Question Answering
%A Varasai, Patcharee
%A Pechsiri, Chaveevan
%A Sukvari, Thana
%A Satayamas, Vee
%A Kawtrakul, Asanee
%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 varasai-etal-2008-building
%X We describe ongoing work in semi-automatic annotating corpus, with the goal to answer why-question in question answering system and give a construction of the coherent tree for text summarization. In this paper we present annotation schemas for identifying the discourse relations that hold between the parts of text as well as the particular textual of span that are related via the discourse relation. Furthermore, we address several tasks in building the annotated corpus in discourse level, namely creating annotated guidelines, ensuring annotation accuracy and evaluating.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/870_paper.pdf
Markdown (Informal)
[Building an Annotated Corpus for Text Summarization and Question Answering](http://www.lrec-conf.org/proceedings/lrec2008/pdf/870_paper.pdf) (Varasai et al., LREC 2008)
ACL