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 7801–7825 of 10817 papers

TitleStatusHype
Noise Estimation Using Density Estimation for Self-Supervised Multimodal LearningCode0
Natural Language QA Approaches using Reasoning with External Knowledge—0
Talking-Heads AttentionCode1
Zero-Shot Cross-Lingual Transfer with Meta LearningCode1
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection—0
A Question-Centric Model for Visual Question Answering in Medical ImagingCode0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation LearningCode0
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT—0
Unshuffling Data for Improved Generalization—0
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings—0
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0—0
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge—0
Hierarchical Conditional Relation Networks for Video Question AnsweringCode1
FONDUE: A Framework for Node Disambiguation Using Network Embeddings—0
Predicting Subjective Features of Questions of QA Websites using BERTCode4
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering—0
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?—0
Unsupervised Question Decomposition for Question AnsweringCode1
Training Question Answering Models From Synthetic Data—0
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods—0
VQA-LOL: Visual Question Answering under the Lens of Logic—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