add in docs that cooccurrence.data.frame in a group by fashion which does not take into account a sequence
does not return self-occurrences and as there is no order (bag of terms) in the output term1 is always smaller than term2, need to formulate this more concisely
while cooccurrence.character goes left to right, maybe need an option right to left also
Note in Biterm Topic Modelling (https:/

Text version

master

Orange version

master

Expected behavior

I search for a word in Corpus Viewer and get some documents. I would then expect the output to be those documents that I also select in the documents list. It would behave more like Data Table.

Actual behavior

The output is always documents that match search regardless of what is selected in the documents li

The dataset provided in the jsonl format has repeating values as labels for the same given spans.

This when loaded into spacy throws error as spacy doesnt support tagging same span with multiple entities.

• spaCy version: 2.2.1
• Platform: Linux-4.4.0-18362-Microsoft-x86_64-with-debian-stretch-sid
• Python version: 3.7.3

morphology_han-readings.py passes "北京大学生物系主任办公室内部会议" and prints out

{'hanReadings': [['Bei3-jing1-Da4-xue2'], null, ['zhu3-ren4'], ['ban4-gong1-shi4'], ['nei4-bu4'], ['hui4-yi4']]}

The element of the list, null, should be ['Sheng1-wu4'], i.e., "Biology."

Add a GitHub Wiki page to explain how this repository's file system works. It's not immediately obvious which folder contains what and what all the files are.