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README.md

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 This is a followup paper of "Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism" ACL2018 [CopyRE](http://aclweb.org/anthology/P18-1047)
 
-This repo only contains CopyRE' part. MTL part is very old and messy, we are not going to release it. We suggest using [pytorch-crf](https://pytorch-crf.readthedocs.io/en/stable/) to implement the sequence labeling module for encoder. The dataset from CopyRE does not support MTL as well, because it lose the NER annotation. 
+This repo only contains CopyRE' part. MTL part is very old and messy, we are not going to release it. 
+In other words, this repo only use the last token of the entity for training and evaluation. If you want CopyMTL to manipulate complete entities, we suggest using [pytorch-crf](https://pytorch-crf.readthedocs.io/en/stable/) to implement the sequence labeling module for encoder. The dataset from CopyRE does not support MTL as well, because it lose the NER annotation. You'll have to re-preprocessing the data from scratch to gain full entity, rather than the links below.
 
 
 ## Environment