Natural Language Processing
Types and distribution of coreferences in QuAC dataset showing dialogue complexity

QuAC: Question Answering in Context Dataset

Analysis of QuAC's conversational QA through student-teacher interactions, featuring 100K+ context-dependent questions …

Natural Language Processing

CoQA Dataset: Advancing Conversational Question Answering

Analysis of CoQA, a conversational QA dataset with multi-turn dialogue, coreference resolution, and natural answers for …

Generative Modeling
Wasserstein distance visualization showing Earth-Mover distance concept for GAN training

GAN Objective Functions: A Comprehensive Guide

Complete guide to GAN objective functions including WGAN, LSGAN, Fisher GAN, and more. Understand which loss function to …

Generative Modeling
Illustration of GAN training process showing adversarial competition between generator and discriminator

Understanding Generative Adversarial Networks (GANs)

Learn about GANs with intuitive explanations and mathematical foundations. Learn how adversarial networks generate …

Natural Language Processing
One-hot encoding and count vectorization visualization showing sparse vector representation

Count Vectorization with scikit-learn in Python

Learn count vectorization in Python: convert text to numerical vectors using scikit-learn's CountVectorizer with …

Natural Language Processing
3D visualization of word embeddings showing semantic relationships in vector space

Word Embeddings in NLP: An Introduction

Learn about word embeddings in NLP: from basic one-hot encoding to contextual models like ELMo. Guide with examples.