dapurv5/awesome-question-answering

Covers foundational and contemporary QA architectures including memory networks, knowledge graph reasoning, and neural semantic parsing approaches. Organizes resources by specialized subtasks like question generation from text and knowledge bases, alongside benchmark datasets (bAbI, SQuAD predecessors, WebQuestions) used to evaluate QA systems. Spans memory-augmented neural networks, graph embeddings, and sequence-to-sequence models that form the technical backbone of modern QA pipelines.

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