June 24, 2019

311 words 2 mins read



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

repo name chiphuyen/sotawhat
repo link https://github.com/chiphuyen/sotawhat
homepage https://huyenchip.com/2018/10/04/sotawhat.html
language Python
size (curr.) 27 kB
stars (curr.) 1135
created 2018-10-02


Read more about SOTAWHAT here.

You can use sotawhat through a web interface here. Thanks hmchuong!

This script runs using Python 3. It requires nltk, six, and pyspellchecker. To install it as a Python package, follow the following steps:

Step 1: clone this repo, and go inside that repo:

$ git clone [HTTPS or SSH linnk to this repo]
$ cd sotawhat

Step 2: install using pip

$ pip3 install .

On Windows, due to encoding errors, the script may cause issues when run on the command line. It is recommended to use pip install win-unicode-console --upgrade prior to launching the script. If you get UnicodeEncodingError, you must install the above.

In MacOS, you can get the SSL error

[nltk_data] Error loading punkt: <urlopen error [SSL:
[nltk_data]     CERTIFICATE_VERIFY_FAILED] certificate verify failed:
[nltk_data]     unable to get local issuer certificate (_ssl.c:1045)>

this will be fixed by reinstalling certificates

$ /Applications/Python\ 3.x/Install\ Certificates.command


This project adds the sotawhat script for you to run globally on Terminal or commandline.

To query for a certain keyword, run:

$ sotawhat [keyword] [number of results]

For example:

$ sotawhat perplexity 10


$ sotawhat language model 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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