机器阅读理解MRC论文整理

 

最近发现一篇机器阅读理解整理的博客机器阅读理解整理整理于2020年

论文代码查找网站：

https://dblp.uni-trier.de/db/conf/acl/acl2020.html

https://www.aclweb.org/anthology/events/acl-2019/

https://paperswithcode.com/

 

https://www.aminer.cn/user/notification?f=mt

最新论文合集--机器阅读理解

机器阅读理解整理_2020_07_30

 

https://dl.acm.org/    acm数字图书馆

https://ieeexplore.ieee.org/Xplore/home.jsp    ieee图书馆

https://www.semanticscholar.org/    semantic scholar

https://arxiv.org/

https://www.aminer.cn/conf/acl2020/papers  会议论文分类搜索讲解

机器阅读理解深入点

query中出现的否定词，转折词

细粒度语义的query

低资源

预训练语言模型

可解释性

模型创新

长文本

 

机器阅读理解综述论文

Neural Machine Reading Comprehension: Methods and Trends

A Survey on Machine Reading Comprehension Systems

清华NLP团队推荐：必读的77篇机器阅读理解论文

参考链接：清华NLP团队推荐 机器阅读理解论文

包含2018年及其以前的顶会阅读理解论文， 于2018-11-01发布

清华CoAI：非抽取式机器阅读理解

近两年NLP论文整理

参考：https://github.com/yizhen20133868/NLP-Conferences-Code

ACL2020

ACL2020论文整理

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction

A Frame-based Sentence Representation for Machine Reading Comprehension

 

DoQA - Accessing Domain-Specific FAQs via Conversational QA

CorefQA: Coreference Resolution as Query-based Span Prediction

RikiNet: Reading Wikipedia Pages for Natural Question Answering

Harvesting and Refining Question-Answer Pairs for Unsupervised QA

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

EMNLP2020

EMNLP 2020 MRC论文分类整理

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

Scene Restoring for Narrative Machine Reading Comprehension

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text

Reading Between the Lines: Exploring Infilling in Visual Narratives

、

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Towards Interpreting BERT for Reading Comprehension Based QA

Neural Conversational QA: Learning to Reason vs Exploiting Patterns

A Simple Yet Strong Pipeline for HotpotQA

SubjQA: A Dataset for Subjectivity and Review Comprehension

STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering

QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning

LAReQA: Language-agnostic answer retrieval from a multilingual pool

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning

AutoQA: From Databases To Q&A Semantic Parsers With Only Synthetic Training Data

AmbigQA: Answering Ambiguous Open-domain Questions

Hierarchical Graph Network for Multi-hop Question Answering

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Is Graph Structure Necessary for Multi-hop Question Answering?

IJCAI 2020

IJCAI 2020必读机器阅读理解精选

An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension

Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network

Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

ACL 2019

Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension

Explicit Utilization of General Knowledge in Machine Reading Comprehension

Multi-style Generative Reading Comprehension

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension

Exploiting Explicit Paths for Multi-hop Reading Comprehension

Learning to Ask Unanswerable Questions for Machine Reading Comprehension

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

MC\^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension

 

HEAD-QA: A Healthcare Dataset for Complex Reasoning

Entity-Relation Extraction as Multi-Turn Question Answering

Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting

NAACL 2019

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Automatic learner summary assessment for reading comprehension

Improving Machine Reading Comprehension with General Reading Strategies

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

Using Natural Language Relations between Answer Choices for Machine Comprehension

 

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering

ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters

FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC

Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues

Simple Question Answering with Subgraph Ranking and Joint-Scoring

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives

Sequential Attention with Keyword Mask Model for Community-based Question Answering

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Guiding Extractive Summarization with Question-Answering Rewards

Alignment over Heterogeneous Embeddings for Question Answering

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Repurposing Entailment for Multi-Hop Question Answering Tasks

Question Answering as an Automatic Evaluation Metric for News Article Summarization

End-to-End Open-Domain Question Answering with BERTserini

CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering

Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

EMNLP 2019

Cross-Lingual Machine Reading Comprehension

Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model

Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Machine Reading Comprehension Using Structural Knowledge Graph-aware Network

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

NumNet: Machine Reading Comprehension with Numerical Reasoning

Learning with Limited Data for Multilingual Reading Comprehension

Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension

Adversarial Domain Adaptation for Machine Reading Comprehension

NumNet: Machine Reading Comprehension with Numerical Reasoning

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension

CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations

Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension

Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior

FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension

Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis

On Making Reading Comprehension More Comprehensive

Comprehensive Multi-Dataset Evaluation of Reading Comprehension

D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension

 

Proceedings of the 2nd Workshop on Machine Reading for Question Answering

Improving Question Answering with External Knowledge

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

Reasoning Over Paragraph Effects in Situations

Towards Answer-unaware Conversational Question Generation

Cross-Task Knowledge Transfer for Query-Based Text Summarization

Book QA: Stories of Challenges and Opportunities

Do Multi-hop Readers Dream of Reasoning Chains?

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

Evaluating Question Answering Evaluation

Bend but Don’t Break? Multi-Challenge Stress Test for QA Models

ReQA: An Evaluation for End-to-End Answer Retrieval Models

A Recurrent BERT-based Model for Question Generation

Let Me Know What to Ask: Interrogative-Word-Aware Question Generation

Extractive NarrativeQA with Heuristic Pre-Training

CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding

Question Answering Using Hierarchical Attention on Top of BERT Features

Domain-agnostic Question-Answering with Adversarial Training

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning

An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering