近期有哪些值得讀的QA論文？

https://blog.csdn.net/m0epNwstYk4/article/details/81008901

摘要

轉自：愛可可-愛生活

Papers

• Memory Networks

• End-To-End Memory Networks

• Towards AI-Complete Question Answering: A set of prerequisite toy tasks

• Large Scale simple question answering with Memory Networks

• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

• Key-Value Memory Networks for directly understanding documents

• Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

• Value of Semantic Parse Labeling for KBQA

• Question Answering with Subgraph Embeddings

• Open Question Answering with Weakly Supervised Embedding Models

• Learning End-to-End Goal-Oriented dialog

• End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding

• Question Answering over Knowledge Base With Neural Attention Combining Global Knowledge Information

• Compositional Learning of Embeddings for Relation Paths in Knowledge Bases and Texts

• Neural Machine Translation by jointly learning to align and translate

• Recurrent Neural Network Grammar

• Neural Turing Machines

• Teaching machines to read and comprehend

• Applying Deep Learning to answer selection: A study and an open task

• Reasoning with Neural Tensor Networks

• Scalable Feature Learning for networks: Node2Vec

• Learning Distributed Representations for Rooted Subgraphs from Large Graphs: Subgraph2Vec

• Hybrid computing using a neural network with dynamic external memory

• Traversing Knowledge Graphs in Vector Space

• Learning to Compose Neural Networks for Question Answering

• Hierarchical Memory Networks

• Gaussian Attention Model and its Application to Knowledge Base Embedding and Question Answering

• Gated Graph Sequence Neural Networks

• Sequence to Sequence Learning With Neural Networks

• Neural Conversation Model

• Query Reduction Networks For Question Answering

todo

• DeepWalk: Online Learning of Social Representations

Datasets

• bAbI dataset

• CNN QA Task (Teaching Machines to Read & Comprehend)

• WebQuestions

• Simple Questions

• Movie QA

• [WebQuestionsSP](https://www.microsoft.com/en-us/download/details.aspx? id=52763)

• WikiQA

• Kaggle AllenAI Challenge

• MC Test, Machine Comprehension Test Microsoft 2013

• MSR Sentence Completion Challenge

• Dialog State Tracking Challenge

• QA dataset featured in Teaching Machines to Read and Comprehend

• WebNav

• Stanford Question Answering Dataset

• FB15K Knowledge Base

• Yahoo! Answers Comprehensive Questions and Answers version 1.0 (multi part)

• Cornell Movie Dialogue Dataset

• WikiQA

• Quora Duplicate Questions Dataset

• Query Reformulator Dataset Jeopardy etc

KBs

• NetBase

• Freebase

Presentations

• Relation Learning for Large Scale Knowledge Graph

• Attention and Memory

LM Datasets

• PennTree Bank

• Text8

Code & Relevant Projects

• MemNN Impl Matlab

• Key Value MemNN

• Quepy

• NLQuery

• ParlAI

• flask-chatterbot

• Learning to Rank short text pairs with CNN SIGIR 2015

連結：

https://github.com/dapurv5/awesome-question-answering

原文連結：

http://weibo.com/1402400261/F3Q73oiBO?ref=home&rid=4_0_202_2606541658285148177&type=comment#_rnd1495189315513