SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7726–7750 of 10817 papers

TitleStatusHype
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets—0
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training—0
Modality Shifting Attention Network for Multi-modal Video Question Answering—0
Text Data Augmentation: Towards better detection of spear-phishing emails—0
Visual Question Answering as a Multi-Task Problem—0
Eliminating Catastrophic Interference with Biased Competition—0
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC TasksCode0
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering—0
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge—0
Scene Graph Reasoning for Visual Question Answering—0
The Impact of Explanations on AI Competency Prediction in VQA—0
Detecting Ongoing Events Using Contextual Word and Sentence Embeddings—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering—0
Open-Domain Question Answering—0
On the Importance of Diversity in Question Generation for QA—0
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
Multimodal Neural Graph Memory Networks for Visual Question Answering—0
SimsterQ: A Similarity based Clustering Approach to Opinion Question Answering—0
Answering Complex Questions by Combining Information from Curated and Extracted Knowledge Bases—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
Learning to Identify Follow-Up Questions in Conversational Question Answering—0
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT—0
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified