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

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Showing 7576–7600 of 10817 papers

TitleStatusHype
Unsupervised Multiple Choices Question Answering: Start Learning from Basic KnowledgeCode0
Knowledge Distillation for Improved Accuracy in Spoken Question Answering—0
Is Retriever Merely an Approximator of Reader?—0
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering—0
S_Covid: An Engine to Explore COVID-19 Scientific Literature—0
Extracting Procedural Knowledge from Technical Documents—0
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved ConsistencyCode0
Pushing the Limits of AMR Parsing with Self-Learning—0
Technical Question Answering across Tasks and DomainsCode0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Understanding Unnatural Questions Improves Reasoning over Text—0
Summary-Oriented Question Generation for Informational Queries—0
QuesBELM: A BERT based Ensemble Language Model for Natural Questions—0
Towards Data Distillation for End-to-end Spoken Conversational Question Answering—0
Towards Interpreting BERT for Reading Comprehension Based QACode0
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering—0
Question Answering over Knowledge Base using Language Model Embeddings—0
Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering—0
Hierarchical Multitask Learning Approach for BERT—0
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph—0
Human Adversarial QA: Did the Model Understand the Paragraph?—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks—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