natural-language-processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
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Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/
or some other data- or doc- related module – rather than in gensim.models.word2vec
.
Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)
Change tensor.data
to tensor.detach()
due to
pytorch/pytorch#6990 (comment)
tensor.detach()
is more robust than tensor.data
.
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more details at: allenai/allennlp#2264 (comment)
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Hello spoooopyyy hackers
This is a Hacktoberfest only issue!
This is also data-sciency!
The Problem
Our English dictionary contains words that aren't English, and does not contain common English words.
Examples of non-common words in the dictionary:
"hlithskjalf",
"hlorrithi",
"hlqn",
"hm",
"hny",
"ho",
"hoactzin",
"hoactzine
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The current version of the HANS dataset is missing the additional information provided for each example, including the sentence parses, heuristic and subcase.
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Created by Alan Turing
- Wikipedia
- Wikipedia
This is a documentation request in order to make it easier to find corresponding examples in the documentation.
Good first issue if you want to get acquainted with the docs and how to build docs using Sphinx!
Current issue
Here's the issue: currently, if one goes to an older documentation version to check the "examples" page, for example, [v2.6.0](https://huggin