Praneet

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SPARK_VERSION is updated again. Updated link - http://apache.mirror.anlx.net/spark/spark-2.4.5/spark-2.4.5-bin-hadoop2.7.tgz Update ```ENV SPARK_VERSION=2.4.5``` in docker/base/Docker file

I didn't try that as removing it would mean a lot of meaningless negative candidates. For eg: for a date, a floating-point number or random text doesn't make sense. So...

@Neelesh1121 Can you please explain what you mean by > we have to extract all the key value present in the snapshot. There's no rule like that. In the above...

> We should focus on other issues this not an important feature. Sure, let's keep this open and pick it up once other things are in place.

@shaonanqinghuaizongshishi I think you are mistaking 4 to be the number of neighbors here. 4 is an arbitrary number chosen by the authors without much explanation on it. So the...

Can you please elaborate a bit?

Just set `obj_meta->text_params->font_params->font_size = 0`

@panwar2001 Can you elaborate with an example of what issue you are facing?

@panwar2001 I think you are confusing that projection with the neighbour encoding. The neighbour encodings are projected to 4 * 2d and then maxpooled as you can see [here](https://github.com/Praneet9/Representation-Learning-for-Information-Extraction/blob/b268463e312689e3dc5222cebf0f5a2e4be68fb6/network/model.py#L44). These...

Think of candidates as a mixture of positive and negative samples. If the model doesn't see any negative examples, it is difficult to differentiate between right and wrong. This is...