W27 2018 Proceedings

Summary of the paper

Title	QSRL: A Semantic Role-Labeling Schema for Quantitative Facts
Authors	Matthew Lamm, Arun Chaganty, Dan Jurafsky, Christopher D. Manning and Percy Liang
Abstract
Topics	Financial Text, Semantic Role Labeling, Numbers, Quantities, Information Extraction
Full paper	QSRL: A Semantic Role-Labeling Schema for Quantitative Facts
Bibtex	@InProceedings{LAMM18.10, author = {Matthew Lamm ,Arun Chaganty ,Dan Jurafsky ,Christopher D. Manning and Percy Liang}, title = {QSRL: A Semantic Role-Labeling Schema for Quantitative Facts}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Mahmoud El-Haj and Paul Rayson and Andrew Moore}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-23-8}, language = {english} }