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 51100 of 1760 papers

TitleStatusHype
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Biomedical named entity recognition using BERT in the machine reading comprehension frameworkCode1
Adversarial Training for Commonsense InferenceCode1
Fact-driven Logical Reasoning for Machine Reading ComprehensionCode1
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine ReadingCode1
FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigmCode1
Break It Down: A Question Understanding BenchmarkCode1
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question DecompositionCode1
Can large language models reason about medical questions?Code1
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language ProcessingCode1
E3: Entailment-driven Extracting and Editing for Conversational Machine ReadingCode1
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
A Dataset for Statutory Reasoning in Tax Law Entailment and Question AnsweringCode1
Densely Connected Attention Propagation for Reading ComprehensionCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
Debate Helps Supervise Unreliable ExpertsCode1
Dependency Parsing as MRC-based Span-Span PredictionCode1
ELASTIC: Numerical Reasoning with Adaptive Symbolic CompilerCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional AnswersCode1
Context-faithful Prompting for Large Language ModelsCode1
Coreference Resolution as Query-based Span PredictionCode1
AllenNLP: A Deep Semantic Natural Language Processing PlatformCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Context-Aware Answer Extraction in Question AnsweringCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningCode1
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity RecognitionCode1
A Sentence Cloze Dataset for Chinese Machine Reading ComprehensionCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation ExtractionCode1
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair ExtractionCode1
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language ModelsCode1
Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Automated Scoring for Reading Comprehension via In-context BERT TuningCode1
Dialogue Graph Modeling for Conversational Machine ReadingCode1
A Large Cross-Modal Video Retrieval Dataset with Reading ComprehensionCode1
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test ConstructionCode1
Benchmarking: Past, Present and FutureCode1
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
EntQA: Entity Linking as Question AnsweringCode1
Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model EvaluationCode1
AraELECTRA: Pre-Training Text Discriminators for Arabic Language UnderstandingCode1
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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