da-capo/entity-relation-svm

SVM Entity Relation classification for ace2005 chinese data

entity-relation-svm's Issues

同问，能够把中文语料发我下吗？万分感谢

可以发我邮箱：[email protected]

您好！

最近在做关系抽取方面的工作，想用SVM做个baseline ，有幸看到您的工程，请问下 能够将数据集发我一份那？非常感谢您的开源。

import jieba报错

python feature_extract.py
Traceback (most recent call last):
File "feature_extract.py", line 9, in
import jieba
File "/home/xfbai/anaconda3/lib/python3.6/site-packages/jieba/init.py", line 9, in
import logging
File "/home/xfbai/anaconda3/lib/python3.6/logging/init.py", line 26, in
import sys, os, time, io, traceback, warnings, weakref, collections
File "/home/xfbai/anaconda3/lib/python3.6/traceback.py", line 5, in
import linecache
File "/home/xfbai/anaconda3/lib/python3.6/linecache.py", line 11, in
import tokenize
File "/home/xfbai/anaconda3/lib/python3.6/tokenize.py", line 35, in
from token import *
File "/home/xfbai/Entity-Relation-SVM-master/token.py", line 17, in
from sklearn.feature_extraction.text import CountVectorizer,TfidfTransformer
File "/home/xfbai/anaconda3/lib/python3.6/site-packages/sklearn/init.py", line 22, in
logger = logging.getLogger(name)
AttributeError: module 'logging' has no attribute 'getLogger'
请问这个错是因为token.py重名了吗

执行token.py出错

请问在token.py中执行创建词袋的步骤时，报如下的错是为什么呢？stackoverflow上的方法都行不通
Traceback (most recent call last):
File "feature_extract.py", line 51, in
tokens = token.get_tokens()
File "/home/xfbai/Entity-Relation-SVM-master/new_token.py", line 65, in get_tokens
X_train_counts = vectorizer.fit_transform(cut_docs)
File "/home/xfbai/anaconda3/lib/python3.6/site-packages/sklearn/feature_extraction/text.py", line 1031, in fit_transform
self.fixed_vocabulary_)
File "/home/xfbai/anaconda3/lib/python3.6/site-packages/sklearn/feature_extraction/text.py", line 962, in _count_vocab
raise ValueError("empty vocabulary; perhaps the documents only"
ValueError: empty vocabulary; perhaps the documents only contain stop words

谢谢