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 9251–9275 of 10817 papers

TitleStatusHype
Rotational Unit of MemoryCode0
Using Multi-Label Classification for Improved Question AnsweringCode0
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering—0
iVQA: Inverse Visual Question Answering—0
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic ClusteringCode1
Smarnet: Teaching Machines to Read and Comprehend Like Human—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—0
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
Fully Automated Fact Checking Using External SourcesCode0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
Lexical Disambiguation in Natural Language Questions (NLQs)—0
Fooling Vision and Language Models Despite Localization and Attention Mechanism—0
Survey of Recent Advances in Visual Question Answering—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
Visual Question Generation as Dual Task of Visual Question Answering—0
Exploring Human-like Attention Supervision in Visual Question Answering—0
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering—0
Conversational Exploratory Search via Interactive Storytelling—0
A Deep Generative Framework for Paraphrase GenerationCode1
Query-based Attention CNN for Text Similarity MapCode0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
Robustness Analysis of Visual QA Models by Basic Questions—0
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation—0
Using NLU in Context for Question Answering: Improving on Facebook's bAbI Tasks—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