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 8676–8700 of 10817 papers

TitleStatusHype
The combination of context information to enhance simple question answering—0
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms—0
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization—0
FlowQA: Grasping Flow in History for Conversational Machine ComprehensionCode0
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences—0
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset—0
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingCode0
Transfer Learning via Unsupervised Task Discovery for Visual Question AnsweringCode0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Commonsense Knowledge Base Completion and Generation—0
Linguistically-Based Deep Unstructured Question Answering—0
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Neural Transition Based Parsing of Web Queries: An Entity Based Approach—0
Generating Syntactic Paraphrases—0
Corpus-Driven Thematic Hierarchy Induction—0
A Unified Syntax-aware Framework for Semantic Role LabelingCode0
Facts That MatterCode0
Put It Back: Entity Typing with Language Model EnhancementCode0
A dataset and baselines for sequential open-domain question answering—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—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