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 9276–9300 of 10817 papers

TitleStatusHype
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—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
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
Conversational Exploratory Search via Interactive Storytelling—0
Query-based Attention CNN for Text Similarity MapCode0
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
Variational Reasoning for Question Answering with Knowledge GraphCode0
Abductive Matching in Question Answering—0
Globally Normalized ReaderCode0
A Unified Query-based Generative Model for Question Generation and Question Answering—0
Understanding the Logical and Semantic Structure of Large Documents—0
Story Comprehension for Predicting What Happens Next—0
Sparsity and Noise: Where Knowledge Graph Embeddings Fall ShortCode0
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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