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 13511400 of 1760 papers

TitleStatusHype
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision0
Attention-Guided Answer Distillation for Machine Reading Comprehension0
CoQA: A Conversational Question Answering ChallengeCode0
QuAC : Question Answering in Context0
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions0
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
ODSQA: Open-domain Spoken Question Answering DatasetCode0
Effective Character-augmented Word Embedding for Machine Reading Comprehension0
MCDTB: A Macro-level Chinese Discourse TreeBank0
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Reading Comprehension with Graph-based Temporal-Casual Reasoning0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension0
Investigating the importance of linguistic complexity features across different datasets related to language learning0
An Annotated Corpus of Picture Stories Retold by Language Learners0
Modeling Task Effects in Human Reading with Neural Network-based Attention0
Repartitioning of the ComplexWebQuestions DatasetCode0
Question-Aware Sentence Gating Networks for Question and Answering0
Difficulty Controllable Generation of Reading Comprehension Questions0
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base0
Multi-glance Reading Model for Text Understanding0
Neural Models for Key Phrase Extraction and Question Generation0
Tackling Adversarial Examples in QA via Answer Sentence Selection0
Systematic Error Analysis of the Stanford Question Answering Dataset0
Syntactic and Lexical Approaches to Reading Comprehension0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension0
Proceedings of the Workshop on Machine Reading for Question Answering0
Generating Questions for Reading Comprehension using Coherence Relations0
RECIPE: Applying Open Domain Question Answering to Privacy Policies0
Denoising Distantly Supervised Open-Domain Question AnsweringCode0
Document Modeling with External Attention for Sentence ExtractionCode0
Automatic Question Generation using Relative Pronouns and Adverbs0
Exploring Semantic Properties of Sentence Embeddings0
Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis0
Semantically Equivalent Adversarial Rules for Debugging NLP modelsCode0
Jack the Reader -- A Machine Reading FrameworkCode0
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text0
CNN for Text-Based Multiple Choice Question AnsweringCode0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling0
Subword-augmented Embedding for Cloze Reading ComprehensionCode0
Jack the Reader - A Machine Reading FrameworkCode1
Comparative Analysis of Neural QA models on SQuAD0
Know What You Don't Know: Unanswerable Questions for SQuADCode1
A Co-Matching Model for Multi-choice Reading ComprehensionCode0
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task0
Learning to Search in Long Documents Using Document StructureCode0
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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