u_fact = fact_graph_choose @ atten_tensor about ladan HOT 6 CLOSED

The u_fact = fact_graph_choose @ atten_tensor is used to choose the attention vector of the corresponding law article group to compute the representation of fact description in re-encoder. In fact, the fact_graph_choose is got by: fact_graph_choose = tf.where(fact_graph_choose == tf.reduce_max(fact_graph_choose, -1), tf.ones_like(fact_graph_choose), tf.zeros_like(fact_graph_choose)) , where only the position of the maximum value is one, the other position is zero. Then, we use the inner product operation to pick the corresponding attention vector in atten_tensor. I hope this answer can help you! [email protected] From: elaine Date: 2020-04-26 19:49 To: prometheusXN/LADAN CC: Subscribed Subject: [prometheusXN/LADAN] u_fact = fact_graph_choose @ atten_tensor (#1) Can you explain the u_fact = fact_graph_choose @ atten_tensor statement? I noticed that this song sentence appeared in many running files. But there was an error in this line when running. Thanks ~ — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Our dataset is from Wenmian Yang who is the author of paper "Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network" (IJCAI 2019). There is actually some difference compared with the preliminary dataset of CAIL. Can you give me an e-mail address? I'll send the CAILsmall dataset to you. [email protected] From: elaine Date: 2020-04-28 15:48 To: prometheusXN/LADAN CC: prometheusXN; Comment Subject: Re: [prometheusXN/LADAN] u_fact = fact_graph_choose @ atten_tensor (#1) Thank you for your patience and prompt response. I have another question about dataset. I processed the data according to tongji.py. But the training data and test data screened out are less than those described in the paper. I don't know which step is the problem. I directly use the new_law.txt and new_accu.txt given in your code as clearlawlist and cleararaculist. Looking forward to your reply ~ — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.