Question Answering (QA)

Question answering

Question answering is a computer science discipline that focuses on building systems to automatically answer questions posed by humans in natural language. It is related to information retrieval and natural language processing. It was first introduced in the early 1960s.

3 courses cover this concept

11-411/611 Natural Language Processing

Carnegie Mellon University

Spring 2021

Focused on computational systems for human languages, this course introduces various NLP applications, such as translation and summarization. It encompasses a broad scope, from machine learning to linguistics, with a software engineering perspective.

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CS 224N: Natural Language Processing with Deep Learning

Stanford University

Winter 2023

CS 224N provides an in-depth introduction to neural networks for NLP, focusing on end-to-end neural models. The course covers topics such as word vectors, recurrent neural networks, and transformer models, among others.

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COS 484: Natural Language Processing

Princeton University

Spring 2023

This course introduces the basics of NLP, including recent deep learning approaches. It covers a wide range of topics, such as language modeling, text classification, machine translation, and question answering.

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