21-Machine_Comprehension.md

21. Machine Comprehension

21.1 Overview

Paper

• https://github.com/thunlp/RCPapers

  Must-read papers on Machine Reading Comprehension.

• Neural Machine Reading Comprehension: Methods and Trends - NUDT2019

  综述：总结机器阅读理解领域已经提出的方法和近期发展趋势。

Data

• https://github.com/ymcui/Chinese-Cloze-RC

  A Chinese Cloze-style Reading Comprehension Dataset: People Daily & Children's Fairy Tale (CFT)

Competition

AI Challenger 2018 观点型问题阅读理解

• https://github.com/yuhaitao1994/AIchallenger2018_MachineReadingComprehension (Tensorflow)

  复赛第8名 解决方案

法研杯 2019 阅读理解

• https://github.com/circlePi/2019Cail-A-Bert-Joint-Baseline-for-Machine-Comprehension (PyTorch)

  A pytorch implement of bert joint baseline for machine comprehension task in 2019 cail

Article

• 【赛尔笔记】机器阅读理解简述 - 2020

• 机器阅读理解综述 - 2019: 一 二 三

Project

• https://github.com/chineseGLUE/chineseGLUE

  中文语言理解基准测评：Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

21.2 Memory Network

Memory Networks - Facebook2015

End-To-End Memory Networks - Facebook2015

Article

• 论文笔记 - Memory Networks 系列

Code

• https://github.com/brightmart/text_classification (Tensorflow)

21.3 R-NET

R-Net: Machine Reading Comprehension with Self-Matching- MSRA2017

Code

• https://github.com/NLPLearn/R-net (Tensorflow)

Article

• Understanding R-Net: Microsoft’s ‘superhuman’ reading AI

• 《R-NET：MACHINE READING COMPREHENSION》阅读笔记

21.4 Recurrent Entity Network ?

Tracking the World State with Recurrent Entity Networks - Facebook2017

Structure:

Input (Context, Question) -> Encoding (BOW with Position Mask or BiRNN) ->

Dynamic Memory (Similarity of keys, values-> Gate -> Candidate Hidden State -> Current Hidden State) ->

Output Module (Similarity of Query and Hidden State -> Possibility Distribution -> Weighted Sum -> Non-linearity Transform -> Predicted Label)

code

• https://github.com/facebook/MemNN/tree/master/EntNet-babi (Torch, Lua)

• https://github.com/jimfleming/recurrent-entity-networks (Tensorflow)

• https://github.com/brightmart/text_classification (Tensorflow)

21.5 Code

• https://github.com/laddie132/Match-LSTM (PyTorch)

  Paper: 1, 2, R-NET

21.6 Paper

• 1. Machine Comprehension Using Match-LSTM and Answer Pointer - Singapore2016
• 2. Reinforced Mnemonic Reader for Machine Reading Comprehension - NUDT2018