SOTAVerified

Reading Comprehension

Most current question answering datasets frame the task as reading comprehension where the question is about a paragraph or document and the answer often is a span in the document.

Some specific tasks of reading comprehension include multi-modal machine reading comprehension and textual machine reading comprehension, among others. In the literature, machine reading comprehension can be divide into four categories: cloze style, multiple choice, span prediction, and free-form answer. Read more about each category here.

Benchmark datasets used for testing a model's reading comprehension abilities include MovieQA, ReCoRD, and RACE, among others.

The Machine Reading group at UCL also provides an overview of reading comprehension tasks.

Figure source: A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Papers

Showing 401450 of 1760 papers

TitleStatusHype
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Contextualized Word Representations for Reading ComprehensionCode0
Learning to Describe Phrases with Local and Global ContextsCode0
Less Is More: Domain Adaptation with Lottery Ticket for Reading ComprehensionCode0
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading ComprehensionCode0
Lite Unified Modeling for Discriminative Reading ComprehensionCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
Exploiting Explicit Paths for Multi-hop Reading ComprehensionCode0
Attention-over-Attention Neural Networks for Reading ComprehensionCode0
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited QuestionsCode0
Chaining Event Spans for Temporal Relation GroundingCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
Treatment effects without multicollinearity? Temporal order and the Gram-Schmidt process in causal inferenceCode0
Evidence Sentence Extraction for Machine Reading ComprehensionCode0
Machine Comprehension by Text-to-Text Neural Question GenerationCode0
Explaining Interactions Between Text SpansCode0
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case StudyCode0
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model QualityCode0
CoQA: A Conversational Question Answering ChallengeCode0
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading ComprehensionCode0
Question Answering as an Automatic Evaluation Metric for News Article SummarizationCode0
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and ModelsCode0
Evaluating Large Language Models on Controlled Generation TasksCode0
Capturing Greater Context for Question GenerationCode0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
A Reading Comprehension Corpus for Machine Translation EvaluationCode0
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific TextsCode0
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical OverlapCode0
Evaluating Commonsense in Pre-trained Language ModelsCode0
AmazonQA: A Review-Based Question Answering TaskCode0
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?Code0
Cross-Lingual Machine Reading ComprehensionCode0
A Question-Focused Multi-Factor Attention Network for Question AnsweringCode0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
Adaptive loose optimization for robust question answeringCode0
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
Estimating Linguistic Complexity for Science TextsCode0
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming DataCode0
Automatically generating question-answer pairs for assessing basic reading comprehension in SwedishCode0
AllenNLP Interpret: A Framework for Explaining Predictions of NLP ModelsCode0
Multilingual Controllable Transformer-Based Lexical SimplificationCode0
EQuANt (Enhanced Question Answer Network)Code0
Multi-Perspective Context Matching for Machine ComprehensionCode0
Entity Tracking Improves Cloze-style Reading ComprehensionCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
A Puzzle-Based Dataset for Natural Language InferenceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Rational Reasoner / IDOLTest80.6Unverified
2AMR-LE-EnsembleTest80Unverified
3MERIt(MERIt-deberta-v2-xxlarge )Test79.3Unverified
4MERIt-deberta-v2-xxlarge deberta.v2.xxlarge.path.override_True.norm_1.1.0.w2.A100.cp200.s42Test79.3Unverified
5Knowledge modelTest79.2Unverified
6DeBERTa-v2-xxlarge-AMR-LE-ContrapositionTest77.2Unverified
7LReasoner ensembleTest76.1Unverified
8ELECTRA and ALBERTTest71Unverified
9WWZTest69.7Unverified
10xlnet-large-uncased [extended data]Test69.3Unverified
#ModelMetricClaimedVerifiedStatus
1ALBERT (Ensemble)Accuracy91.4Unverified
2Megatron-BERT (ensemble)Accuracy90.9Unverified
3ALBERTxxlarge+DUMA(ensemble)Accuracy89.8Unverified
4Megatron-BERTAccuracy89.5Unverified
5XLNetAccuracy (Middle)88.6Unverified
6DeBERTalargeAccuracy86.8Unverified
7B10-10-10Accuracy85.7Unverified
8RoBERTaAccuracy83.2Unverified
9Orca 2-13BAccuracy82.87Unverified
10Orca 2-7BAccuracy80.79Unverified
#ModelMetricClaimedVerifiedStatus
1Golden TransformerAverage F10.94Unverified
2MT5 LargeAverage F10.84Unverified
3ruRoberta-large finetuneAverage F10.83Unverified
4ruT5-large-finetuneAverage F10.82Unverified
5Human BenchmarkAverage F10.81Unverified
6ruT5-base-finetuneAverage F10.77Unverified
7ruBert-large finetuneAverage F10.76Unverified
8ruBert-base finetuneAverage F10.74Unverified
9RuGPT3XL few-shotAverage F10.74Unverified
10RuGPT3LargeAverage F10.73Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-LargeOverall: F164.4Unverified
2BERT-LargeOverall: F162.7Unverified
3BiDAFOverall: F128.5Unverified
#ModelMetricClaimedVerifiedStatus
1BERTMSE0.05Unverified
#ModelMetricClaimedVerifiedStatus
1BERT pretrained on MIMIC-IIIAnswer F163.55Unverified