spacy

问题 I was trying to install python -m spacy download en_vectors_web_lg But it was throwing error: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device May I know why is it creating the error ? Is it saying that I do not have enogh space in directory to install ?? 回答1: Most likely it is trying to download the data to your /tmp temporary location. My guess is that the default settings (usually half your ram) is too small to handle the download. You can disable

问题 I have trained my own word2vec model in gensim and I am trying to load that model in spacy. First, I need to save it in my disk and then try to load an init-model in spacy but unable to figure out exactly how. gensimmodel Out[252]: <gensim.models.word2vec.Word2Vec at 0x110b24b70> import spacy spacy.load(gensimmodel) OSError: [E050] Can't find model 'Word2Vec(vocab=250, size=1000, alpha=0.025)'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory. 回答1:

问题 I have trained my own word2vec model in gensim and I am trying to load that model in spacy. First, I need to save it in my disk and then try to load an init-model in spacy but unable to figure out exactly how. gensimmodel Out[252]: <gensim.models.word2vec.Word2Vec at 0x110b24b70> import spacy spacy.load(gensimmodel) OSError: [E050] Can't find model 'Word2Vec(vocab=250, size=1000, alpha=0.025)'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory. 回答1:

问题 I have a list of tuples. Each tuple consists of a string and a dict. Now each dict in that, consists of a list of tuples. The size of the list is around 8K entries. Sample data: dataset = [('made of iron oxide', {'entities': [(12, 16, 'PRODUCT'), (17, 20, 'PRODUCT'), (15, 24, 'PRODUCT'), (12, 19, 'PRODUCT')]}),('made of ferric oxide', {'entities': [(10, 15, 'PRODUCT'), (12, 15, 'PRODUCT'), (624, 651, 'PRODUCT'), (1937, 1956, 'PRODUCT')]})] From here output expected is: dataset = [('made of

问题 I have a list of tuples. Each tuple consists of a string and a dict. Now each dict in that, consists of a list of tuples. The size of the list is around 8K entries. Sample data: dataset = [('made of iron oxide', {'entities': [(12, 16, 'PRODUCT'), (17, 20, 'PRODUCT'), (15, 24, 'PRODUCT'), (12, 19, 'PRODUCT')]}),('made of ferric oxide', {'entities': [(10, 15, 'PRODUCT'), (12, 15, 'PRODUCT'), (624, 651, 'PRODUCT'), (1937, 1956, 'PRODUCT')]})] From here output expected is: dataset = [('made of

问题 I am trying to import spacy in vain. >>> import spacy Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\Alienware\Anaconda3\envs\tf2\lib\site-packages\spacy\__init__.py", line 12, in <module> from . import pipeline File "C:\Users\Alienware\Anaconda3\envs\tf2\lib\site-packages\spacy\pipeline\__init__.py", line 4, in <module> from .pipes import Tagger, DependencyParser, EntityRecognizer, EntityLinker File "pipes.pyx", line 24, in init spacy.pipeline.pipes

问题 I am trying to import spacy in vain. >>> import spacy Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\Alienware\Anaconda3\envs\tf2\lib\site-packages\spacy\__init__.py", line 12, in <module> from . import pipeline File "C:\Users\Alienware\Anaconda3\envs\tf2\lib\site-packages\spacy\pipeline\__init__.py", line 4, in <module> from .pipes import Tagger, DependencyParser, EntityRecognizer, EntityLinker File "pipes.pyx", line 24, in init spacy.pipeline.pipes

问题 Is there a way to use spaCy's rule-based pattern matcher (or a similar library) on dependency sequences such as the list of tokens returned by token.ancestors ? For example, I have pluralized a noun and now I need to check for dependent verbs to fix any errors in verb agreement. So one pattern (of many) would be to match an 'auxpass' verb belonging to a parent verb which is a relative clause of the noun. 回答1: I kind of hesitate to recommend something that doesn't have any documentation yet,

问题 I am trying to install the spaCy english model on my mac after installing the program. Right now my machine has python 2.7. I have installed spaCy in the venv then followed that with "python -m spacy.en.download" to install the model as instructed on the website. When I try to do that I get the following in response: $ python -m spacy.en.download Traceback (most recent call last): File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/runpy.py", line 162, in _run_module

问题 I am processing large amount of text for custom (NER) Named Entity Recognition using Spacy. For text pre-processing I am using nltk for tokenization..etc. I am able to process one of my custom entities which is based on simple strings. But the other custom entity is a combination of number and certain text (20 BBLs for example). The word_tokenize method from nltk.tokenize tokenizes 20 and 'BBLs' separately each as a separate token. What I want is to treat them (the number and the 'BBLs'