NLPlanet Blog

Here you can find the articles published on the NLPlanet blog on Medium, divided by category.

Latest Articles

• 7 December 2022 - A New Free and Open Course about Practical NLP with Python

• 26 October 2022 - Transcribing YouTube videos with Whisper in a few lines of code

• 19 October 2022 - MLOps Tips from an Interview Study

• 27 September 2022 - What Tasks Can I Solve with NLP Today?

• 20 September 2022 - A Brief Timeline of NLP

Intro to NLP

• A New Free and Open Course about Practical NLP with Python

• A Brief Timeline of NLP

• 33 important NLP tasks explained

• 21 popular NLP libraries of 2022

• The Basic Concepts and Terms You Need to Know for AI and ML

• What Tasks Can I Solve with NLP Today?

• 18 High-Quality Resources for studying NLP

• 21 Learning Resources for Text Classification

• 20 Learning Resources for Word Embeddings

• 20 Learning Resources for Transformers

• 20 Learning Resources for Information Retrieval

• 23 Learning Resources for Chatbots

• 18 Learning Resources for Language Models

• 19 Learning Resources for Question Answering

Intro to NLP Tasks

• Quick intro to Text Style Transfer

• Quick intro to Text Simplification

• Quick intro to Question Answering

• Quick Intro to Sentiment Analysis

• 10 Surveys About Popular NLP Areas

• Quick Intro to Coreference Resolution with NeuralCoref

• Python Regular Expressions cheatsheet

• Quick Intro to Knowledge Base Question Answering

• Four different approaches to Text Summarization

• How to measure Commonsense Reasoning

Embeddings

• 11 word embeddings models you should know

• 20 Learning Resources for Word Embeddings

• Doc2Vec in a nutshell

• Learn TF-IDF with easy examples

• Topic Modeling and Semantic Search with Top2Vec

• Using Word2Vec to learn node embeddings on graphs

• Sentence Transformers cheat sheet

Language Models

• A brief timeline of NLP from Bag of Words to the Transformer family

• Better Language Model Scaling for Downstream Tasks

• Unified Text-to-Text Tasks with T5

• A Full Guide to Finetuning T5 for Text2Text and Building a Demo with Streamlit

• Scaling Laws for Neural Language Models

• Making Large Language Models reason with Chain of Thought Prompting

• Scaling Transformers with Sparsity

• 18 Learning Resources for Language Models

• Gopher Language Model performance in a nutshell

• The OpenAI WebGPT model that answers questions browsing the web

• How the DeepMind RETRO model decouples reasoning and memorization

• Most used Decoding Methods for Language Models

• OpenAI InstructGPT brings Reward Models to GPT-3

• BERT finetuning with Hugging Face and training visualizations with TensorBoard

• Switch Transformers and huge sparse language models

• Ethical and social risks from Large Language Models

• Perplexity explained with simple probabilities

Knowledge Graphs, Entity Linking, Relation Extraction

• Building a Knowledge Base from Texts: a Full Practical Example

• Visualize Dependency Parsing and Entities with displaCy

• A simple taxonomy of Knowledge Graph research

• Quick Intro to Knowledge Base Question Answering

• 11 applications of Knowledge Graphs

• Explainable AI with Knowledge Graphs

• Easy document annotation with Wikipedia concepts

• Relation Extraction with OpenNRE

Semantic Search

• Semantic Search with Few Lines of Code

• 20 Learning Resources for Information Retrieval

• Quick tips to make your semantic search projects painless

• Semantic search of images with CLIP and Unsplash

• Topic Modeling and Semantic Search with Top2Vec

Metrics and Benchmarks

• Popular NLP Benchmarks [Part 1]

• Keeping track of information and the LAMBADA benchmark

• Learn the BLEU metric by examples

• Learn the ROUGE metric by examples

• Perplexity explained with simple probabilities

• Intro to Word Error Rate (WER) for Speech-to-Text

• GLUE Tasks and 2022 Leaderboard

• SuperGLUE Tasks and 2022 Leaderboard

Explainable AI

• Explainable AI with Knowledge Graphs

• Explain predictions with SHAP values

• Explain predictions with LIME

• Partial Dependence and ICE Plots

Popular NLP Libraries

• 21 popular NLP libraries of 2022

• SpaCy cheat sheet

• NLTK cheatsheet

• Quick Introduction to Haystack

• Keyword and keyphrase extraction with PKE

• Keyword and keyphrase extraction with KeyBERT

• Explain predictions with SHAP values

• Explain predictions with LIME

• Beginner intro to Hugging Face main classes and functions

• Sentence Transformers cheat sheet

• Is it Better to Save Models Using Joblib or Pickle?

Attention and Transformers

• Visualizing Seq2seq Models with Attention

• Visualizing Global vs Local Attention

• Scaling Transformers with Sparsity

• 20 Learning Resources for Transformers

Chatbots and Intents

• Building a Personal Assistant from Scratch

• 23 Learning Resources for Chatbots

• Effective intents identification in short texts with unsupervised learning

Sentiment Analysis

• Quick Intro to Sentiment Analysis

• Quick intro to Stance Detection on Social Media

• Quick intro to Aspect-Based Sentiment Analysis

Paraphrases

• Building blocks to train a paraphrases generation model effortlessly

Text Classification

• A Taxonomy of Data Augmentation for Text Classification

• 21 Learning Resources for Text Classification

• Basic taxonomy of Topic Tagging models and elementary use cases

• BERT finetuning with Hugging Face and training visualizations with TensorBoard

Streamlit

• Building a Knowledge Base from Texts: a Full Practical Example

• A Full Guide to Finetuning T5 for Text2Text and Building a Demo with Streamlit

Topic Modeling

• Topic Modeling and Semantic Search with Top2Vec

Speech Recognition

• Building a Personal Assistant from Scratch

• Transcribing YouTube videos with Whisper in a few lines of code

• Speech Recognition options with Python

• Intro to Word Error Rate (WER) for Speech-to-Text

Text to Speech

• Building a Personal Assistant from Scratch

Grammar

• Visualize Dependency Parsing and Entities with displaCy

• Python Regular Expressions cheatsheet

Statistics

• Are Summary Statistics Enough when Analyzing Data?

Training Visualization

• BERT finetuning with Hugging Face and training visualizations with TensorBoard

Multimodal Models

• What DALL·E Mini Thinks of IT Workers

• Semantic search of images with CLIP and Unsplash

• Building a meme creation pipeline with CLIP and GPT-3

Ethics

• Ethical and social risks from Large Language Models

Regular Expressions

• Python Regular Expressions cheatsheet

Coreference Resolution

• Quick Intro to Coreference Resolution with NeuralCoref

Grammatical Error Correction

• Five Correcting Spelling Errors approaches

Tokenization

• A Taxonomy of Tokenization Methods

Question Answering

• Quick intro to Question Answering

• 19 Learning Resources for Question Answering

• Quick Intro to Knowledge Base Question Answering

• Quick Introduction to Haystack

Keyword and Keyphrase Extraction

• Keyword and keyphrase extraction with PKE

• Keyword and keyphrase extraction with KeyBERT

Model Optimizations

• A Model Distillation Survey

• Leveraging parallelisms to train large neural networks

MLOps

• A Quick Intro to MLOps

• MLOps Tips from an Interview Study

• Using MLflow for Reproducible Data Science Experiments

• Training a PyTorch Model on GCP Vertex AI

• Deploy a PyTorch Model with Flask on GCP Vertex AI

• Hosting scikit-learn Models on the Hugging Face Hub with skops

PyTorch

• Quick Intro to PyTorch with Examples: Tensor Operations

JAX

• A Quick Intro to JAX with Examples

Graphs

• Using Word2Vec to learn node embeddings on graphs

Recommender Systems

• Tips for Recommender Systems with NLP

Data Science Career

• A New Free and Open Course about Practical NLP with Python

• Curriculum Tips for Beginner Data Scientists

• Where Do Many Go Wrong When Creating a Data Science POC?

On Writing about NLP

• An organized collection of 94 articles with NLP tips

• A collection of 57 articles with NLP tips

• A New Discord Server about Natural Language Processing

• Writing one article a day about NLP for one month