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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8976–9000 of 10817 papers

TitleStatusHype
Verb Alternations and Their Impact on Frame Induction—0
Visually Guided Spatial Relation Extraction from Text—0
Self-Training for Jointly Learning to Ask and Answer Questions—0
The Context-Dependent Additive Recurrent Neural Net—0
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Natural Answer Generation with Heterogeneous Memory—0
Inducing Temporal Relations from Time Anchor AnnotationCode0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences—0
Learning to Collaborate for Question Answering and Asking—0
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data—0
Determining Event Durations: Models and Error Analysis—0
Domain-Sensitive Temporal Tagging By Jannik Str\"otgen, Michael Gertz—0
Tree Structured Dirichlet Processes for Hierarchical Morphological SegmentationCode0
Scaling Neural Machine TranslationCode0
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability—0
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings—0
Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?—0
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information—0
Dependent Gated Reading for Cloze-Style Question Answering—0
Think Visually: Question Answering through Virtual ImageryCode0
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringCode1
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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