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 10011050 of 1760 papers

TitleStatusHype
Revisiting the Open-Domain Question Answering Pipeline0
Knowledge Efficient Deep Learning for Natural Language Processing0
Relation/Entity-Centric Reading Comprehension0
Continual Domain Adaptation for Machine Reading Comprehension0
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and ResourcesCode0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction0
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension0
Ranking Clarification Questions via Natural Language Inference0
App-Aware Response Synthesis for User Reviews0
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature0
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering0
Low-Resource Generation of Multi-hop Reasoning Questions0
DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection0
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples0
A Frame-based Sentence Representation for Machine Reading Comprehension0
Machine Reading of Historical EventsCode0
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT0
Benefits of Intermediate Annotations in Reading Comprehension0
Dynamic Sampling Strategies for Multi-Task Reading Comprehension0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing LiteratureCode0
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets0
Memory TransformerCode0
New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension0
Learning from Demonstration with Weakly Supervised Disentanglement0
On the Multi-Property Extraction and Beyond0
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network0
Knowledge-Aided Open-Domain Question Answering0
GMAT: Global Memory Augmentation for TransformersCode0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension0
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension0
BERT Based Multilingual Machine Comprehension in English and HindiCode0
Analyse automatique en cadres s\'emantiques pour l'apprentissage de mod\`eles de compr\'ehension de texte (Semantic Frame Parsing for training Machine Reading Comprehension models)0
Conversational Machine Comprehension: a Literature Review0
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models0
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks0
BIOMRC: A Dataset for Biomedical Machine Reading ComprehensionCode0
Commonsense Evidence Generation and Injection in Reading Comprehension0
How Context Affects Language Models' Factual Predictions0
Building A User-Centric and Content-Driven Socialbot0
To Test Machine Comprehension, Start by Defining Comprehension0
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected ReasoningCode0
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data0
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions0
Visuo-Linguistic Question Answering (VLQA) ChallengeCode0
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions0
Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension0
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks0
Show:102550
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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