Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
In this project, we provide our implementations of CNN [Zeng et al., 2014] and PCNN [Zeng et al.,2015] and their extended version with sentence-level attention scheme [Lin et al., 2016] .
Relation extraction on an open-domain knowledge base
Accompanying repository for our EMNLP 2017 paper. It contains the code to replicate the experiments and the pre-trained models for sentence-level relation extraction.
NYT10 is originally released by the paper "Sebastian Riedel, Limin Yao, and Andrew McCallum. Modeling relations and their mentions without labeled text."
Y. Jin, Y. Matsuo, und M. Ishizuka. Proceedings of the European Semantic Web Conference, ESWC2007, Volume 4519 von Lecture Notes in Computer Science, Springer-Verlag, (Juli 2007)
M. Kayed, und K. Shaalan. IEEE Transactions on Knowledge and Data Engineering, 18 (10):
1411--1428(2006)Member-Chia-Hui Chang and Member-Moheb Ramzy Girgis.
J. Lee, F. Dernoncourt, und P. Szolovits. SemEval 2017, (2017)cite arxiv:1704.01523Comment: Accepted at SemEval 2017. The first two authors contributed equally to this work.
N. Peng, H. Poon, C. Quirk, K. Toutanova, und W. Yih. ACL, (2017)cite arxiv:1708.03743Comment: Conditional accepted by TACL in December 2016; published in April 2017; presented at ACL in August 2017.