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
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https://dblp.uni-trier.de/db/conf/acl/acl2020.html
https://www.aclweb.org/anthology/events/acl-2019/
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https://dl.acm.org/ acm数字图书馆
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https://www.semanticscholar.org/ semantic scholar
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 |
Neural Machine Reading Comprehension: Methods and Trends
A Survey on Machine Reading Comprehension Systems
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
参考:https://github.com/yizhen20133868/NLP-Conferences-Code
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
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?
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
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
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
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
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