thunlp/attribute_charge

The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".

attribute_charge's Issues

能否公开论文呢？

如题。

Sorry,May you apply Criminal-M and Criminal-L dataset?

Excuse , I am very interested in this project, May you apply Criminal-M and Criminal-L dataset? Thank you very much!

bug for init words.vec

./attribute_charge/code/init.py", line 52, in
content = [(float)(i) for i in content]
ValueError: could not convert string to float: '炜'

关于代码的一些疑惑与结果复现

• 代码疑惑1
  model.py中，125行的unmasked_attr_loss的shape是[batch_size,]，126行的attr_mask的shape是[batch_size, 1]，两者经过tf.multiply后的attr_loss的shape就会是[batch_size, batch_size]。是不是应该先把attr_mask reshape成[batch_size,]？

• 代码疑惑2
  model.py中，71行是否应该用tf.reduce_mean而非tf.reduce_sum？

• 结果复现
  这是我复现的结果：Acc: 93.4; MP: 56.9; MR: 57.7; F1: 55.6。F1值没有达到论文的64.9，想知道这可能是什么原因造成的？谢谢！

what does "NA" mean ?

Excuse me, what does "NA" mean in your charge attributes data? "unrelated" or "not sure"

读取“words.vec”文件时，遇到如下图的一个问题，一直未能解决

about dataset information

how to understander the dataset struct

请问这个代码现如今还能运行吗

May you apply Criminal-M and Criminal-L dataset?

Hello , This is very Contributing work for us! I am very interested in this work , May you apply Criminal-M and Criminal-L dataset?

ValueError: could not convert string to float: '炜'

为什么会出现这个问题呢?请问

运行时出现错误，请教这是怎么回事

Traceback (most recent call last):
File "train.py", line 368, in
tf.app.run()
File "/home/lx/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "train.py", line 83, in main
lstm_model = model.LSTM_MODEL(word_embeddings=word_embeddings,attr_table=attr_table,config = lstm_config)
File "/home/lx/attribute_charge-master/code/model.py", line 50, in init
self.attn_weights = tf.concat(1, [tf.expand_dims(temp,1) for temp in self.attention_weights])
File "/home/lx/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1122, in concat
tensor_shape.scalar())
File "/home/lx/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_shape.py", line 848, in assert_is_compatible_with
raise ValueError("Shapes %s and %s are incompatible" % (self, other))
ValueError: Shapes (10, 32, 1, 500) and () are incompatible

Baseline

baseline 可以一起公布吗

您好，请问这个数据集可以提供法条推荐的标签和刑期长短的标签吗？

Tensorflow == 0.12 is right?