Merge branch 'master' of https://github.com/markus-eberts/spert

README.md

@@ -1,5 +1,7 @@
 # SpERT: Span-based Entity and Relation Transformer
-PyTorch code for "SpERT: Span-based Entity and Relation Transformer"
+PyTorch code for SpERT: "Span-based Entity and Relation Transformer". For a description of the model and experiments, see our paper: https://arxiv.org/abs/1909.07755 (accepted at ECAI 2020).
+
+![alt text](http://deepca.cs.hs-rm.de/img/deepca/spert.png)
 
 ## Setup
 ### Requirements
@@ -48,4 +50,4 @@ python ./spert.py train --config configs/example_train.conf
 [3] Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, JulianeFluck,  Martin  Hofmann-Apitius,  and  Luca  Toldo,  ‘Development  of a  Benchmark  Corpus  to  Support  the  Automatic  Extraction  of  Drug-related Adverse Effects from Medical Case Reports’, J. of BiomedicalInformatics,45(5), 885–892, (October 2012).
 [4] Pankaj Gupta,  Hinrich Schütze, and Bernt Andrassy, ‘Table Filling Multi-Task Recurrent  Neural  Network  for  Joint  Entity  and  Relation Extraction’, in Proc. of COLING 2016, pp. 2537–2547, Osaka, Japan, (December 2016). The COLING 2016 Organizing Committee.
 [5] Iz Beltagy, Kyle Lo, and Arman Cohan, ‘SciBERT: A Pretrained Language Model for Scientific Text’, in EMNLP, (2019).
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