Extracting and Querying Relations in Scientific Papers on Language Technology

Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek, Yajing Zhang


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 Scientist’s Workbench. It supports researchers in editing and online-searching scientific papers.
Anthology ID:
L08-1251
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek, and Yajing Zhang. 2008. Extracting and Querying Relations in Scientific Papers on Language Technology. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Extracting and Querying Relations in Scientific Papers on Language Technology (Schäfer et al., LREC 2008)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf