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Question answering

Known as: Open-domain question answering, Answer engine, Question answering system 
Question Answer (Q AND A) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is… Expand
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Related topics

Related topics

42 relations
Artificial intelligenceArtificial intelligence in fictionArtificial neural networkData redundancy
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Broader (2)

Computational linguisticsNatural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Neural Approaches to Conversational AI
The present paper surveys neural approaches to conversational AI that have been developed in the last few years. We group… Expand
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Review
2018
Review
2018
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding
Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local… Expand
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Review
2017
Review
2017
Knowledge Graph Embedding: A Survey of Approaches and Applications
Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so… Expand
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Review
2017
Review
2017
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT… Expand
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Review
2017
Review
2017
Visual question answering: Datasets, algorithms, and future challenges
Abstract Visual Question Answering (VQA) is a recent problem in computer vision and natural language processing that has garnered… Expand
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Review
2016
Review
2016
Deep Learning in Natural Language Processing
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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Review
2016
Review
2016
A survey on question answering systems with classification
Question answering systems (QASs) generate answers of questions asked in natural languages. Early QASs were developed for… Expand
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Highly Cited
2016
Highly Cited
2016
Stacked Attention Networks for Image Question Answering
This paper presents stacked attention networks (SANs) that learn to answer natural language questions from images. SANs use… Expand
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Highly Cited
2015
Highly Cited
2015
VQA: Visual Question Answering
We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question… Expand
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Highly Cited
2002
Highly Cited
2002
Learning surface text patterns for a Question Answering System
In this paper we explore the power of surface text patterns for open-domain question answering systems. In order to obtain an… Expand
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