@inproceedings{yeganova-etal-2018-singlecite,
title = "{S}ingle{C}ite: Towards an improved Single Citation Search in {P}ub{M}ed",
author = "Yeganova, Lana and
Comeau, Donald C and
Kim, Won and
Wilbur, W John and
Lu, Zhiyong",
editor = "Demner-Fushman, Dina and
Cohen, Kevin Bretonnel and
Ananiadou, Sophia and
Tsujii, Junichi",
booktitle = "Proceedings of the {B}io{NLP} 2018 workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2318",
doi = "10.18653/v1/W18-2318",
pages = "151--155",
abstract = "A search that is targeted at finding a specific document in databases is called a Single Citation search. Single citation searches are particularly important for scholarly databases, such as PubMed, because users are frequently searching for a specific publication. In this work we describe SingleCite, a single citation matching system designed to facilitate user{'}s search for a specific document. We report on the progress that has been achieved towards building that functionality.",
}
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<title>Proceedings of the BioNLP 2018 workshop</title>
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<abstract>A search that is targeted at finding a specific document in databases is called a Single Citation search. Single citation searches are particularly important for scholarly databases, such as PubMed, because users are frequently searching for a specific publication. In this work we describe SingleCite, a single citation matching system designed to facilitate user’s search for a specific document. We report on the progress that has been achieved towards building that functionality.</abstract>
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%0 Conference Proceedings
%T SingleCite: Towards an improved Single Citation Search in PubMed
%A Yeganova, Lana
%A Comeau, Donald C.
%A Kim, Won
%A Wilbur, W. John
%A Lu, Zhiyong
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the BioNLP 2018 workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F yeganova-etal-2018-singlecite
%X A search that is targeted at finding a specific document in databases is called a Single Citation search. Single citation searches are particularly important for scholarly databases, such as PubMed, because users are frequently searching for a specific publication. In this work we describe SingleCite, a single citation matching system designed to facilitate user’s search for a specific document. We report on the progress that has been achieved towards building that functionality.
%R 10.18653/v1/W18-2318
%U https://aclanthology.org/W18-2318
%U https://doi.org/10.18653/v1/W18-2318
%P 151-155
Markdown (Informal)
[SingleCite: Towards an improved Single Citation Search in PubMed](https://aclanthology.org/W18-2318) (Yeganova et al., BioNLP 2018)
ACL