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Feature requests should first be proposed on [the forum](https://forums.fast.ai). **Link to forum discussion.** https://forums.fast.ai/t/how-to-define-dataloader-from-train-valid-folders-and-name-func-of-file/69049 **Is your feature request related to a problem? Please describe.** Similar to the form discussion above,...

section arg not regonized

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Passing a `-s` flag to the extractor seems to be invalid. Any pointers ? ``` usage: WikiExtractor.py [-h] [-o OUTPUT] [-b n[KMG]] [-c] [--json] [--html] [-l] [-ns ns1,ns2] [--templates TEMPLATES]...

This is a version of #373 that tries to remove some duplicated commits. The original PR adds Log Linear Model based weighting to the disambiguation procedure. It also adds some...

Feature/adding relevance scores

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This PR adds a feature to dbpedia-spotlight, namely, weights associated with the annotations extracted.To do so, all you need to do is add a line containing `relevance_scoring=default` to your `model.properties`...

Jobib and Jsonpickle should be added as a dependencies

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Importing Datasets leads to error. ``` ModuleNotFoundError Traceback (most recent call last) in () 5 warnings.filterwarnings('ignore') 6 ----> 7 from keras_text.data import Dataset ~/miniconda/envs/deeplearn/lib/python3.6/site-packages/keras_text/data.py in () 4 import numpy as...

Failed module import

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Maybe related to the whole bunch of python 3 issues around the repo, but a simple `from keras_text.models import TokenModelFactory` ``` ModuleNotFoundError Traceback (most recent call last) in () 1...

Pip install

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Many thanks again for the amazing work @mquad and @umbertoDifa . We are currently using your codebase and learning a lot by reshaping data into the format used by the...

Dataset

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Hi there, can I have any info on the dataset used in this tutorial ? Was it sampled from an academic dataset ? If so which one ?

Port to Fastai 2

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Hi I was wondering if there's an attempt to update this codebase to fastai 2. I'm trying to run that on updated libraries but it seems trickier than I anticipated.

Once you get to the main xml content of the wikidump transforming the xml into json can get a severe speed up by running on spark. This has already been...