From 79a15401a56857c02d908fba0c79ee8f318fe97b Mon Sep 17 00:00:00 2001 From: Nicolay Rusnachenko Date: Mon, 29 Mar 2021 22:55:52 +0300 Subject: [PATCH 1/3] Proving gnn-based models blanks matching (ACL-2019), GDPNet (AAAI-21) --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index b82a8c9..776136e 100644 --- a/README.md +++ b/README.md @@ -97,10 +97,20 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b * Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning [[paper]](https://arxiv.org/abs/1808.06738) * Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia * EMNLP 2018 + #### GNN-based Models +* Matching the Blanks: Distributional Similarity for Relation Learning [[paper]](https://arxiv.org/abs/1906.03158) + * Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski + * ACL 2019 * Relation of the Relations: A New Paradigm of the Relation Extraction Problem [[paper]](https://arxiv.org/abs/2006.03719) * Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang * EMNLP 2020 +* GDPNet: Refining Latent Multi-View Graph for Relation Extraction + [[paper]](https://arxiv.org/abs/2012.06780.pdf) + [[code]](https://github.com/XueFuzhao/GDPNet) + * Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng + * AAAI 21 + ### Distant Supervision Approaches * Distant supervision for relation extraction without labeled data [[paper]](https://web.stanford.edu/~jurafsky/mintz.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_supervision_for_relation_extraction_without_labeled_data/review.md) * Mike Mintz, Steven Bills, Rion Snow and Dan Jurafsky From 6330f439e25ec450b9807df0b28dca9fef3fa2c8 Mon Sep 17 00:00:00 2001 From: Nicolay Rusnachenko Date: Tue, 30 Mar 2021 10:49:38 +0300 Subject: [PATCH 2/3] Providing RECON paper --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 776136e..82cf50e 100644 --- a/README.md +++ b/README.md @@ -110,6 +110,11 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b [[code]](https://github.com/XueFuzhao/GDPNet) * Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng * AAAI 21 +* RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network + [[parer]](https://arxiv.org/pdf/2009.08694.pdf) + [[code]](https://github.com/ansonb/RECON) + * Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul + * WWW'21 ### Distant Supervision Approaches * Distant supervision for relation extraction without labeled data [[paper]](https://web.stanford.edu/~jurafsky/mintz.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_supervision_for_relation_extraction_without_labeled_data/review.md) From 819ffa8b394413529a9cf08e0458b31a59945795 Mon Sep 17 00:00:00 2001 From: Nicolay Rusnachenko Date: Tue, 30 Mar 2021 10:51:52 +0300 Subject: [PATCH 3/3] Switched to 'abs' usage instead of the direct 'pdf' for arxiv references --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 82cf50e..1fe2f27 100644 --- a/README.md +++ b/README.md @@ -111,7 +111,7 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b * Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng * AAAI 21 * RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network - [[parer]](https://arxiv.org/pdf/2009.08694.pdf) + [[parer]](https://arxiv.org/abs/2009.08694.pdf) [[code]](https://github.com/ansonb/RECON) * Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul * WWW'21 @@ -149,10 +149,10 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b * EMNLP 2018 ### Language Models -* Enriching Pre-trained Language Model with Entity Information for Relation Classification [[paper]](https://arxiv.org/pdf/1905.08284.pdf) +* Enriching Pre-trained Language Model with Entity Information for Relation Classification [[paper]](https://arxiv.org/abs/1905.08284.pdf) * Shanchan Wu, Yifan He * arXiv 2019 -* SpanBERT: Improving pre-training by representing and predicting spans [[paper]](https://arxiv.org/pdf/1907.10529.pdf) [[code]](https://github.com/facebookresearch/SpanBERT) +* SpanBERT: Improving pre-training by representing and predicting spans [[paper]](https://arxiv.org/abs/1907.10529.pdf) [[code]](https://github.com/facebookresearch/SpanBERT) * Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer and Omer Levy * Transactions of the Association for Computational Linguistics 2020