When trying to find the options that can be used to initialize NLP.js, I have to delve into the code and navigate through many files to find what I am looking for, if I am lucky. Also the structure of the settings are hard to figure out and require a lot of trial and error.

For example, we are using the NlpManager with these:

{
    ner: { builtins: [] },
    autoSave: false,
    langua

On home page of website: https://nlp.johnsnowlabs.com/ I read "Full Python, Scala, and Java support"

Unfortunately it's 3 days now I'm trying to use Spark NLP in Java without any success.

• I cannot find Java API (JavaDoc) of the framework.
• not event a single example in Java is available
• I do not know Scala, I do not know how to convert things like:
  val testData = spark.createDataFrame(

Describe the bug
Given:

reference_date = datetime.datetime.now()
timex_date = Timex.from_date(datetime.datetime.now())
print(f"{timex_date.timex_value()} : {timex_date.to_natural_language(reference_date)}")

Outputs:

2019-11-12 : 12nd November 2019

Expected behavior
The .Net version returns:

2019-11-12 : today

**Platform (please complete th

flake8 testing of https://github.com/juand-r/entity-recognition-datasets on Python 3.7.0

$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics

./data/NIST_IEER/CONLL-format/utils/quick_comma_fix.py:41:37: E999 SyntaxError: invalid syntax
                    print annotations
                                    ^
./data/NIST_IEER/

As of PyTorch 1.1.0, the inputs to pack_padded_sequence do not need to be sorted by length if enforce_sorted=False:

https://pytorch.org/docs/master/nn.html#torch.nn.utils.rnn.pack_padded_sequence

enforce_sorted (bool, optional) – if True, the input is expected to contain sequences sorted by length in a decreasing order. If False, this condition is not checked. Default: True.

Thanks fo

I notice that when clustype mining the entity mention , the recall is the mainly to consider.But not each mention have a entity type. So if an entity mention is not a real entity, clustype will not assign a entity type to it, is that right？Or,clustype will try to assign a entity type for each mention, no matter the entity mention is a real mention or not.

UI for that will be available as recommender user interface for disambiguation in (semi)automatic tagging in Django based Open Semantic Search Apps.

Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything.

One solution would be to use the python metaphone package's implementation of the Double Metaphone algorithm.

At component train time, it could look at the normal entity lists, find the DM representation of all the synonyms, and store them.

[Updated after reading sotera.github.io/newman/features].

In the "Top Addresses" screenshot below, jeb@jeb.org shows 79% in the donut plot and 0.988 in the bar plot.

I thought the 0.988 was a proportion -- w

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."

Is your feature request related to a problem? Please describe.
To use google geolocation api, User has to fill the credit details. Instead, we can use opensource geocoding api available.

Describe the solution you'd like
We can use alternate geocoding api available to get the same feature.

Import the Wiki from a backup.