Natural Language Processing

Automatic Text Summarization: Overview and Challenges

The amount of information that we consume is growing every day. As a consequence, we need mechanisms to compress this growing amount of information. Text summarization is a tool for compressing written text and has been used for ages. At this moment, the amount of information is growing exponentially as

Natural Language Processing

Finetune BERT on Google Colab: A Simple Tutorial

In this blog post, you will learn how you can finetune BERT on Google Colab and use the trained model for your NLP task. You will also learn how you can observe the performance of the model in the training phase. Why BERT and Google Colab? BERT is a language

Neural Networks

Create a Character-based Seq2Seq model using Python and Tensorflow

In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to

Natural Language Processing

Implement spelling correction using Language Models

Spelling correction is not a trivial task for a computer. Better and better models are invented to tackle problems such as spelling correction. Language models are the kind of models that are being used for this task. Language models are also used for correcting errors in speech recognition, machine translation,