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 7276–7300 of 10817 papers

TitleStatusHype
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved ConsistencyCode0
Technical Question Answering across Tasks and DomainsCode0
Understanding Unnatural Questions Improves Reasoning over Text—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Summary-Oriented Question Generation for Informational Queries—0
Knowledge-guided Open Attribute Value Extraction with Reinforcement LearningCode1
Knowledge Graph-based Question Answering with Electronic Health RecordsCode1
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation ClassificationCode1
QuesBELM: A BERT based Ensemble Language Model for Natural Questions—0
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering—0
Towards Data Distillation for End-to-end Spoken Conversational Question Answering—0
Towards Interpreting BERT for Reading Comprehension Based QACode0
Hierarchical Multitask Learning Approach for BERT—0
Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering—0
Question Answering over Knowledge Base using Language Model Embeddings—0
Human Adversarial QA: Did the Model Understand the Paragraph?—0
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringCode1
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph—0
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks—0
What more can Entity Linking do for Question Answering?—0
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense GraphsCode1
Hierarchical Poset Decoding for Compositional Generalization in Language—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