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] .
NYT10 is originally released by the paper "Sebastian Riedel, Limin Yao, and Andrew McCallum. Modeling relations and their mentions without labeled text."
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.
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.
J. Rotsztejn, N. Hollenstein, und C. Zhang. (2018)cite arxiv:1804.02042Comment: Accepted to SemEval 2018 (12th International Workshop on Semantic Evaluation).
D. Dligach, T. Miller, C. Lin, S. Bethard, und G. Savova. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2, Seite 746--751. (2017)