Research Papers for NLP Beginners Posted on : Nov 19 - 2022

If you’re new to the world of data and have a particular interest in NLP (Natural Language Processing), you’re probably looking for resources to help grasp a better understanding.

You have probably come across so many different research papers and are sitting there confused about which one to choose. Because let’s face it, they’re not short and they do consume a lot of brain power. So it would be smart to choose the right one that will benefit your path to mastering NLP.

I have done some research and have collected a few NLP research papers that have been highly recommended for newbies in the NLP area and overall NLP knowledge.

I will break it up into sections so you can go find exactly what you want.

Machine Learning and NLP

 Text Classification from Labeled and Unlabeled Documents using EM by Kamal Nigam, 1999

This paper is about how you can improve the accuracy of learned text classifiers by augmenting a small number of labeled training documents with a large pool of unlabeled documents.

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList by Marco Tulio Ribeiro et al., 2020

In this paper, you will learn more about CheckList, a task-agnostic methodology for testing NLP models as unfortunately some of the most used current approaches overestimate the performance of NLP models. View More