Sciweavers

Share
LREC
2008

Extracting and Querying Relations in Scientific Papers on Language Technology

11 years 1 months ago
Extracting and Querying Relations in Scientific Papers on Language Technology
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 domainspecific, 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 s' 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.
Ulrich Schäfer, Hans Uszkoreit, Christian Fed
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where LREC
Authors Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek, Yajing Zhang
Comments (0)
books