text: This paper proposes to use Cross-Corpus training for biomedical relationship extraction from text.   - Many wording issues, like citation formats, grammar mistakes, missing words, e.g., Page 2: it as been - The description of the methods should be improved.  For instance, why the input has only two entities?  In many biomedical sentences, there are more than two entities.  How can the proposed two models handle these cases?  - The paper just presents to train on a larger labeled corpus and test on a task with a smaller labeled set.  Why is this novel?  Nothing is novel in the deep models (CNN and TreeLSTM).   - Missing refs, like: A simple neural network module for relational reasoning, Arxiv 2017