sz128 / slot_filling_and_intent_detection_of_slu Goto Github PK

I run the command
bash run/atis_with_pretrained_word_embeddings.sh slot_tagger

the error like this.
./path.sh: line 2: /home/xx/ve3_cu90_pt_1.0/bin/activate: No such file or directory

ve3_cu90_pt_1.0 is ? how i can fix this ?

thank you

您好，我想问一下Results部分是复现的结果吗？我发现表格中的结果与原论文中的结果好像是一样的，所以有些疑惑。具体地，我比较关注Joint Bert模型，请问您的实现中，槽位F1值的计算方式是什么样的（我不太熟悉Pytorch，您的代码我刚刚看，希望能得到您的解答）？

Hello, your work is very excellent. However, due to my poor understanding, I have some questions when reading the code, and would like to ask for for your help. That is, BERT is used in Tutorial A to obtain word embedding, while BERT+ BLSTM model in Tutorial C is also used to obtain word embedding. What is the difference between the two? And if I want to use bert to get word embeddings and use blstm as the basic model, should I use tutorial A or tutorial C? I will be very happy if you can reply me.

masked_function.index_masked_log_softmax(tag_space, masked_output, dim=1) masked_function找不到

Hello. After training the model, how can I deploy it and use it in inference mode??

I run the command:
python3 scripts/get_ELMo_word_embedding_for_a_dataset.py \

--in_files data/atis-2/{train,valid,test}
--output_word2vec local/word_embeddings/elmo_1024_cased_for_atis.txt

2%|████▍ | 8773632/374434792 [01:56<1:33:25, 65227.37B/s]

Traceback (most recent call last):
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/contrib/pyopenssl.py", line 294, in recv_into
return self.connection.recv_into(*args, **kwargs)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/OpenSSL/SSL.py", line 1822, in recv_into
self._raise_ssl_error(self._ssl, result)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/OpenSSL/SSL.py", line 1639, in _raise_ssl_error
raise SysCallError(errno, errorcode.get(errno))
OpenSSL.SSL.SysCallError: (104, 'ECONNRESET')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/response.py", line 360, in _error_catcher
yield
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/response.py", line 442, in read
data = self._fp.read(amt)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/http/client.py", line 449, in read
n = self.readinto(b)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/http/client.py", line 493, in readinto
n = self.fp.readinto(b)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/socket.py", line 586, in readinto
return self._sock.recv_into(b)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/contrib/pyopenssl.py", line 299, in recv_into
raise SocketError(str(e))
OSError: (104, 'ECONNRESET')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/requests/models.py", line 750, in generate
for chunk in self.raw.stream(chunk_size, decode_content=True):
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/response.py", line 494, in stream
data = self.read(amt=amt, decode_content=decode_content)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/response.py", line 459, in read
raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/contextlib.py", line 99, in exit
self.gen.throw(type, value, traceback)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/urllib3/response.py", line 378, in _error_catcher
raise ProtocolError('Connection broken: %r' % e, e)
urllib3.exceptions.ProtocolError: ('Connection broken: OSError("(104, 'ECONNRESET')",)', OSError("(104, 'ECONNRESET')",))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "scripts/get_ELMo_word_embedding_for_a_dataset.py", line 97, in
to_get_elmo_embeddings = elmo_embeddings(options_file, weight_file)
File "scripts/get_ELMo_word_embedding_for_a_dataset.py", line 22, in init
vocab_to_cache=None)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/modules/elmo.py", line 524, in init
self._token_embedder = _ElmoCharacterEncoder(options_file, weight_file, requires_grad=requires_grad)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/modules/elmo.py", line 310, in init
self._load_weights()
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/modules/elmo.py", line 398, in _load_weights
self._load_char_embedding()
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/modules/elmo.py", line 404, in _load_char_embedding
with h5py.File(cached_path(self._weight_file), 'r') as fin:
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/common/file_utils.py", line 98, in cached_path
return get_from_cache(url_or_filename, cache_dir)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/common/file_utils.py", line 217, in get_from_cache
http_get(url, temp_file)
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/allennlp/common/file_utils.py", line 174, in http_get
for chunk in req.iter_content(chunk_size=1024):
File "/opt/anaconda2/envs/tensorflow36_wb/lib/python3.6/site-packages/requests/models.py", line 753, in generate
raise ChunkedEncodingError(e)
requests.exceptions.ChunkedEncodingError: ('Connection broken: OSError("(104, 'ECONNRESET')",)', OSError("(104, 'ECONNRESET')",))
2%|████▍

Hi,
Could you please add a license to your code. Thanks.