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 8551–8575 of 10817 papers

TitleStatusHype
Multi-style Generative Reading Comprehension—0
Supervised Transfer Learning for Product Information Question Answering—0
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning—0
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring ExpressionsCode0
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering—0
Identifying Participation of Individual Verbs or VerbNet Classes in the Causative Alternation—0
The meaning of "most" for visual question answering models—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Knowledge Representation Learning: A Quantitative ReviewCode2
Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering—0
A Survey on Deep Learning for Named Entity RecognitionCode0
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering—0
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context—0
Siamese Networks for Semantic Pattern Similarity—0
Visual Dialogue without Vision or DialogueCode0
Focal Visual-Text Attention for Memex Question AnsweringCode0
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering—0
TextBugger: Generating Adversarial Text Against Real-world ApplicationsCode0
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data—0
Learning Representations of Sets through Optimized PermutationsCode0
SDNet: Contextualized Attention-based Deep Network for Conversational Question AnsweringCode0
Spatial Knowledge Distillation to aid Visual Reasoning—0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Recursive Visual Attention in Visual DialogCode0
Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases—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