nlpaug | hn-search | |
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10 | 1,669 | |
4,331 | 526 | |
- | 0.4% | |
0.0 | 2.9 | |
over 1 year ago | 7 months ago | |
Jupyter Notebook | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nlpaug
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Use WordNet to collect homonyms
You'd want to use an NLP method for this as in order to determine optimal homonyms there would have to be some method of deriving context from the words ahead of and behind the substitution. Take a look at nlpaug.
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Contextual Similarity between a list of n-grams and a website
3) Use deep contextual models with wordpiecing/BPE tokenizers- like all the models: BERT, RoBERTA, etc. On the simpler side, could also swap words with synonyms, which is easy to do with this library: https://github.com/makcedward/nlpaug. Instead of a single n-gram per topic, it might be nice to have a bundle of related words- you could play around with wordnet and see if that's helpful- also easy to do w/ nlpaug.
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Word embeddings / language models for synonym generation?
In practice, even swapping words with dictionary synonyms is a problem because context isn't considered. Lexically sensitive contextual augmentation has become more popular in the last year or two - basically you mask a token using a large language model and then use the model to predict it so it has the full context. It's imperfect, but it's surprisingly useful when you want to upsample data. Nlpaug has an easy-to-use implementation https://github.com/makcedward/nlpaug
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Text Data Augmentation using GPT-2 Language Model
A cool library I recently came across for text augmentation is nlpaug, it does a different thing to your approach, but I think both are useful :)
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[D] Data Augmentation in NLP
This is a nice starting point: https://github.com/makcedward/nlpaug
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NLPAug: what proportion of augmented sentences do you usually add to the dataset?
Since the dataset is relatively tiny, we are working on augmenting it with NLPAug. We use 2 strategies. Synonymisation and back translation.
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Show HN: 40k Book Recommendations on HN Extracted Using Deep Learning
Thank you!
The medium post is amazingly written! I basically did the same thing - and you beat me with the data augmentation piece. I tried using nlpaug [0] but it didn't improve the model performance. I'll definitely try swapping book titles around.
[0] https://github.com/makcedward/nlpaug
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[R] Call for Participation to NL-Augmenter ๐ฆ โ ๐
Are there any shortfalls in nlpaug which justified another project?
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A Visual Survey of Data Augmentation in NLP
Spelling error injection In this method, we add spelling errors to some random word in the sentence. These spelling errors can be added programmatically or using a mapping of common spelling errors such as this list for English.
hn-search
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Rule of Thumb: Anything that looks fancy is not worth you time
- Ads with Psychological tricks
Truly good websites have around 2 facts per 10 word sentence, and get instantly to the chase. Also: good websites give you the names of all their competitors/alternative websites before showing their own stuff, and give you further reading.
Right now the world of technology is supposedly more innovative than ever, but somehow Wikipedia (https://www.wikipedia.org/) and Search Hackernews (https://hn.algolia.com/) beat billion dollar search engines.
Articles written decades ago are still unsurpassed in terms of quality and ease of understanding, but the best modern websites can do is textbook explanations. It is time society graduates from boilerplate buzzword textbook culture.
Now the gems of the internet are slowly being buried beneath mountains of trash.
If something sounds boilerplate it isn't good enough.
Don't bother saying something that has been said before, and better.
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What makes a translation great
>for more detail: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Oh, I see. We actually discussed Pound about four years ago - just a little back and forth about the ABC of Reading: https://news.ycombinator.com/item?id=24196681
>What's your explanation of why Pound went Fascist?
I'm not sure I particularly have one; I haven't read any of his longer political or cultural (i.e. non-literary) works. I just think it's silly to correlate an approach to translation that you dislike with fascism. Especially as I'm not sure it even makes sense on its own terms: I can only read your comment as 'lazy translator? Figures that he would be a fascist', but if I imagine the type of translation a fascist would approve of, the approach I picture is fastidious, fussy, concerned with fidelity to the point of stickler-ishness. (Isn't that from where we get 'grammar nazi'?)
And oh, well, since you ask I'll take a shy at it: my vague sense is that he became fascist because saw a society in decline due to it becoming more and more a sham society: opulence without virtue, power without vigour, money no longer tied to actually existing goods. (Of course, all of this shades easily into antisemitism.) He saw fascism as the answer; It's easier to see in retrospect that it wasn't.
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Zed Decoded: Linux When? โ Zed Blog
"multiplayer notepad" goes back 15 years at least - https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... notepad&sort=byDate&type=comment
it was used back with a popular website which opened a text document and anyone viewing could type, but I can't remember the name. That became a thing in Google Docs, Microsoft Office, Floobits, and lots of self-hosted and cloned sites.
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Louis Rossmann: YouTube's Legal Team sent me a letter [video]
If you see a post that ought to have been moderated but hasn't been, the likeliest explanation is that we didn't see it. You can help by flagging it or emailing us at [email protected].
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
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An Oil Price-Fixing Conspiracy Caused 27% of All Inflation in 2021
Ok, but please don't post unsubstantive comments to Hacker News.
I understand the reason for repeating these sentimentsโit's the same reason why they get upvoted to the top of threads*โbut repetition of this kind is what we're most trying to avoid here.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...
https://news.ycombinator.com/newsguidelines.html
* I've marked this one off topic now.
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Validating app for manufacturers enhancing process reliability and efficiency
I was looking for it in the guidelines. There are a couple of conventions for postings. Consider a bit of prior examples: [https://hn.algolia.com/?q=show+hn]
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Show HN: Hacker Search โ A semantic search engine for Hacker News
yeah there are only three stories coming up from the site search
https://hn.algolia.com/?q=postgres+clustering
only one is semanthically correct, the other pick up the wrong version of clustering (i.e. k-means instead of multi master writes)
but yeah if one doesn't test the hard cases, how does one know it preserves semantics :D
- Longevity of Recordable CDs, DVDs and Blu-Rays
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The Scientific Method Part 5: Illusions, Delusions, and Dreams
Like dismissing the work of Feyerabend or Wittgenstein without seemingly having read either:
https://hn.algolia.com/?dateRange=pastMonth&page=0&prefix=tr...
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Any Google Analytics Alternatives?
https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
What are some alternatives?
spaCy - ๐ซ Industrial-strength Natural Language Processing (NLP) in Python
duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>
NL-Augmenter - NL-Augmenter ๐ฆ โ ๐ A Collaborative Repository of Natural Language Transformations
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
parser - ๐ Extract meaningful content from the chaos of a web page
azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
readability - A standalone version of the readability lib
advertorch - A Toolbox for Adversarial Robustness Research
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
milkdown - ๐ผ Plugin driven WYSIWYG markdown editor framework.