Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
setting pretrained_model_name will not only define the model arch but also load the pre-trained checkpoint. We should have another hparam to control whether to load pre-trained checkpoint or not.
Is your feature request related to a problem? Please describe.
To prepare medical NER detection, we need to create a reader for the BC5CDR in the BLUE Benchmark: https://github.com/ncbi-nlp/BLUE_Benchmark
Describe the solution you'd like
Develop a reader for BC5CDR
Annotate the Entity Mentions from the dataset.
Describe alternatives you've considered
A clear and concise
Create an extensive and in-depth literature study on various keyword extraction algorithms other than RAKE and Tf-Idf. Every algorithm must be accompanied by brief logical / mathematical explanation + examples (in text or in the form of pictures / diagrams)
File structure
Create a Literature_Survey.md file in the root directory.
Old book pages (with groundtruth), formerly used for OCR studies. There are several versions of the set (concerning resolution and binarization). Noised and denoised sets (done by several methods) are eventually going to be uploaded.
The objective of the project is to predict whether a particular tweet, of which the text (occasionally the keyword and the location as well) is provided, indicates a real disaster or not. We use various NLP techniques and classification models for this purpose and objectively compare these models by means of appropriate evaluation metric.
setting
pretrained_model_namewill not only define the model arch but also load the pre-trained checkpoint. We should have anotherhparamto control whether to load pre-trained checkpoint or not.