Topic : NLP (Summarization centred).
While I was researching about summarization using Machine Learning these are papers that I found interesting maybe it might help others.
Research papers


Original BERT Paper : [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (arxiv.org) 10


[1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach (arxiv.org) 4


[1909.11942v1] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (arxiv.org) 4


[1706.03762v5] Attention Is All You Need (arxiv.org) 2


[1909.03186] On Extractive and Abstractive Neural Document Summarization with Transformer Language Models (arxiv.org) 2


Root Cause Analysis of Network Failures Using Machine Learning and Summarization Techniques | IEEE Journals & Magazine | IEEE Xplore 2


Educative Blogs ( Credit : Jay Alammar 3 ) which I used while learning about all these things. They are very helpful for people starting to understand these things.

there are many other blogs i found were also interesting but that doesn’t include in this topic



The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. (jalammar.github.io) 5


The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. (jalammar.github.io) 4


I am not an expert by any means but I do hope someone finds this helpful as I did.