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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
Wikipedia

Papers overview

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Review
2018
Review
2018
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
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 (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
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT… Expand
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Review
2017
Review
2017
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 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
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
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
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
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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