-
Modern spellbook is missing the following spells:
- [x] Confuse
- [x] Weaken
- [x] Curse
- [x] Vulnerability
- [x] Enfeeble
- [x] Stun
- [ ] Enchant cbow bolt
- [ ] Enchant jewellery
- [x] …
-
Hi,I download the code and run it .However It gets the follow problem :
pickle.PicklingError: Can't pickle : it's not found as numpy.ctypeslib.c_double_Array_100 when it run into the line "pool = Po…
-
run data_preprocessing.ipynb has a error:
w2v_vocab, w2v_model = create_embeddings(train_sent_texts,
embeddings_path='../embeddings/text_embeddings.gensim…
-
Hi,
here a simple question and/or feature request: would it be possible to progressively update a model (learned via skipgram or cbow) by passing new text to fasttext?
That would be very useful f…
-
Is this implementation the distributed bag of words ('PV-DBOW') or the distributed memory ('PV-DM') model
-
Hello,
I have two problems that I cannot find answer to in the documentation.
1. How can I load .vec file (pretrained or generated by Fasttext) to Fasttext to actually use it. I haven't downloaded…
-
-
这种根据中心词来预测中心词的上下文,有什么比较直观的解释吗?像CBOW那种,上下文预测中心词,脑海里想起来比较直观,好理解一些,但是skip-gram模型脑海里却想不到直观的解释,有什么想法或者参考资料吗?
-
因为skip-gram模型是根据中心词预测中心词的上下文,这直观上看来,应该“难度”会大于CBOW,那么按理来说会需要更多的语料才能比较好的收敛,那为什么小语料的情况下反而skip-gram表现更好一些呢?
参考资料:http://licstar.net/archives/620
-
I'm getting an error that prevents me from using the `word2vec` function in Julia on a corpus.
`Install.pkg("Word2Vec")`
Code:
```
using Word2Vec
word2vec("text8","vec.txt",verbose=true)
…