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I've seen #16 and appreciate the valid concerns raised about releasing the model, but the WebText corpus could be a tremendous help to general research if you were able to release it.
Are there pla…
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# NLP 之 新闻分类 - 1 背景介绍
![1](https://user-images.githubusercontent.com/61811515/87897201-8f465b00-ca18-11ea-9fe4-542b80409ed5.jpeg)
## 前言
今天带来的是对阿里云&Datawhale 零基础入门赛事的学习打卡笔记第一部分- 初识NLP。
本文涉及到对于…
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The default `steps` should probably be higher: perhaps 10, or the same as the training `iter` value.
If there are no known-tokens in the supplied `doc_words`, the method will return the randomly-init…
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Iterating over documents and hashing words is almost an order of magnitude slower.
What can we do:
- the hash function used for hashing trick and also for matrices initialization should be written…
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Node2vec and DeepWalk original proposals are built upon the skip-gram model. By default, nodevectors does not set the parameter ```w2vparams["sg"]``` to 1, therefore the underlying Word2Vec model uses…
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It would be really nice to have the entity embedding model to become part of the family of algorithms
at gensim.
[Here](https://gist.github.com/shubham0704/78ffcb38756c7c0bcdf84e0d4f53baf8) is a sh…
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I don't know if it's an appropriate place to submit such proposals, but I'd like to introduce the idea somewhere.
BERT is an encoder-decoder language model that can extract the meaning of words, se…
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什么时候可以提供中文字符的向量表示
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fasttext 0.9.2
compress-fasttext 0.1.4
gensim-4.3.2
Ubuntu 22.04
numpy 1.23.5 (is this the issue?)
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Code:
import compress_fasttext
from gensim.models.fasttext import loa…
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It appears that BART at least is pretty language agnostic. The English specific parts of NeuroNER (afaict), are the recommended `glove.6B.100d` word vectors, and all of the spacy related tokenizing co…