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

Showing 84268450 of 10817 papers

TitleStatusHype
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models0
Pretrained Transformers for Simple Question Answering0
Knowledge Authoring and Question Answering with KALM0
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering SystemCode0
Visual TTR - Modelling Visual Question Answering in Type Theory with Records0
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set ProgrammingCode0
Disease Identification From Unstructured User Input0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation0
Generative Question Answering: Learning to Answer the Whole Question0
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control0
Learning to Decompose Compound Questions with Reinforcement Learning0
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language0
NLProlog: Reasoning with Weak Unification for Natural Language Question Answering0
Routing Networks and the Challenges of Modular and Compositional ComputationCode0
OPIEC: An Open Information Extraction CorpusCode0
Using Context Information to Enhance Simple Question Answering0
Soft Marginal TransE for Scholarly Knowledge Graph Completion0
Understanding Dataset Design Choices for Multi-hop Reasoning0
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
Data Poisoning Attack against Knowledge Graph Embedding0
Scene Graph Prediction with Limited LabelsCode0
TVQA+: Spatio-Temporal Grounding for Video Question AnsweringCode0
Generating Long Sequences with Sparse TransformersCode3
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness ControlCode0
SocialIQA: Commonsense Reasoning about Social InteractionsCode0
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Benchmark Results

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