KnowBERT_huggingface

This is the code of KnowBERT, re-writed by Huggingface. We only rewrite the code of pretraining wiki linker, where knowbert_wiki_linker.jsonnet is used as configs. It contains the data processing part and the KnowBERT model part, you can run each file (data_utils.py or modeling.py) for better understanding. Note that, we didn't implement the running part.

1. code of data_utils.py, modeling.py

1.1 preparing data (Downloading from knowbert_wiki_linker.jsonnet). aida_train.txt, aida_dev.txt is used for training or evaluating the pre-trained entity linker. prob_yago_crosswikis_wikipedia_p_e_m.txt, and wiki_id_to_string.json

2. Reference materials

2.1 Allennlp document
2.2 An example
2.3 The framework of Allennlp

3. Some questions I encountered.

3.1 How is a class instantiated and how are parameters passed from XXX.jsonnet file?
A class is instantiated according to the decorator, the parameters are passed by a default function _from_parameters, refer to Allennlp doc for details.

3.2 How to execute the functions in class?
After instantiating Trainer, executing Trainer.train() is going to execute the model (e.g., loading data, training model). It

3.3 How to read training dataset?
training file -> XXXReader->text_to_read->Instances->_read->Iterable object->batch->model.

4. Some sketches

see sketches.pdf.