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Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

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sotawhat

To see the live demo of this project, you can try in this link

This script runs using Python 3.

First, install the required packages. This script only requires nltk and PyEnchant.

$ pip install -r requirements.txt

If you run the error that the package punkt doesn't exist, download it by going into your Python environment and running:

$ python3

>>> import nltk
>>> nltk.download('punkt')

To query for a certain keyword, run:

$ python3 sotawhat.py "[keyword]" [number of results]

For example:

$ python3 sotawhat.py "perplexity" 10

If you don't specify the number of results, by default, the script returns 5 results. Each result contains the title of the paper with author and published date, a summary of the abstract, and link to the paper.

We've found that this script works well with keywords that are:

  • a model (e.g. transformer, wavenet, ...)
  • a dataset (e.g. wikitext, imagenet, ...)
  • a task (e.g. 'language model', 'machine translation', 'fuzzing', ...)
  • a metric (e.g. BLEU, perplexity, ...)
  • random stuff

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Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

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