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As described in the paper "deep contextualized word representations", before being fed into NLP tasks, elmo vectors, ELMo, are concatenated with context-independent token representations X like this: …
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> AI - 人工智能;AR - 增强现实;CV - 机器视觉;DL - 深度学习;DM - 数据挖掘;DS - 数据科学;DV - 数据可视化;IOT - 物联网;ML - 机器学习;NLP - 自然语言处理
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en_core_web_sm is missing word vectors:
```
import spacy
from spacy.matcher import PhraseMatcher
en_core_web_sm = spacy.load('en_core_web_sm')
en_core_web_lg = spacy.load('en_core_web_lg')
fro…
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The Programming Historian has received the following tutorial on 'Getting Started with Word Embedding in R' by @SaraJKerr. The lesson is under review and can be found at:
http://programminghistori…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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In your paper Learned in Translation: Contextualized Word Vectors (McCann et. al. 2017), it says
> We used the CommonCrawl-840B GloVe model for English word vectors, which were completely fixed d…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Every text classification problem in NLP is broadly categorized as a document or a token level classification .This talk will be devoted to document classification
I will walk through a classificat…
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In order for screen readers and other assistive technology (AT) products to provide rich access to math content, they need to be able to access the raw math in a standard way. Providing alternate text…