@inproceedings{schafer-etal-2008-extracting,
title = "Extracting and Querying Relations in Scientific Papers on Language Technology",
author = {Sch{\"a}fer, Ulrich and
Uszkoreit, Hans and
Federmann, Christian and
Marek, Torsten and
Zhang, Yajing},
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/773_paper.pdf",
abstract = "We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a hybrid NLP architecture with shallow preprocessing for increased robustness and domain-specific, ontology-based named entity recognition, followed by a deep HPSG parser running the English Resource Grammar (ERG). The extracted relations in the MRS (minimal recursion semantics) format are simplified and generalized using WordNet. The resulting quriples are stored in a database from where they can be retrieved (again using abstraction methods) by relation-based search. The query interface is embedded in a web browser-based application we call the Scientists Workbench. It supports researchers in editing and online-searching scientific papers.",
}
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%0 Conference Proceedings
%T Extracting and Querying Relations in Scientific Papers on Language Technology
%A Schäfer, Ulrich
%A Uszkoreit, Hans
%A Federmann, Christian
%A Marek, Torsten
%A Zhang, Yajing
%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 schafer-etal-2008-extracting
%X We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a hybrid NLP architecture with shallow preprocessing for increased robustness and domain-specific, ontology-based named entity recognition, followed by a deep HPSG parser running the English Resource Grammar (ERG). The extracted relations in the MRS (minimal recursion semantics) format are simplified and generalized using WordNet. The resulting quriples are stored in a database from where they can be retrieved (again using abstraction methods) by relation-based search. The query interface is embedded in a web browser-based application we call the Scientists Workbench. It supports researchers in editing and online-searching scientific papers.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf
Markdown (Informal)
[Extracting and Querying Relations in Scientific Papers on Language Technology](http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf) (Schäfer et al., LREC 2008)
ACL