HyperNEAT: Scaling Neuroevolution with Geometric Patterns
How HyperNEAT uses indirect encoding and geometric patterns to evolve large-scale neural networks with biological …
Evaluation
QuAC: Question Answering in Context Dataset
Analysis of QuAC's conversational QA through student-teacher interactions, featuring 100K+ context-dependent questions …
CoQA Dataset: Advancing Conversational Question Answering
Analysis of CoQA, a conversational QA dataset with multi-turn dialogue, coreference resolution, and natural answers for …
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.