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 8551–8600 of 10817 papers

TitleStatusHype
Option Comparison Network for Multiple-choice Reading Comprehension—0
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing—0
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases—0
Multi-Instance Learning for End-to-End Knowledge Base Question Answering—0
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsCode0
Data-driven Approach for Quality Evaluation on Knowledge Sharing PlatformCode0
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs—0
Answer Them All! Toward Universal Visual Question Answering ModelsCode0
From Visual to Acoustic Question Answering—0
Multiresolution Graph Attention Networks for Relevance Matching—0
Learning to Generate Questions by Learning What not to Generate—0
Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering—0
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds—0
Dual Attention Networks for Visual Reference Resolution in Visual DialogCode0
Learning to Perform Role-Filler Binding with Schematic KnowledgeCode0
Evidence Sentence Extraction for Machine Reading ComprehensionCode0
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering—0
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Cycle-Consistency for Robust Visual Question Answering—0
Table2answer: Read the database and answer without SQLCode0
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded—0
End-to-End Open-Domain Question Answering with BERTseriniCode0
Embodied Multimodal Multitask Learning—0
Improving Question Answering with External KnowledgeCode0
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base—0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
Generating Dialogue Agents via Automated Planning—0
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog—0
VrR-VG: Refocusing Visually-Relevant Relationships—0
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionCode0
Learning and Evaluating General Linguistic Intelligence—0
Structuring an unordered text document—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
Language Model Pre-training for Hierarchical Document Representations—0
Implicit Dimension Identification in User-Generated Text with LSTM Networks—0
A BERT Baseline for the Natural QuestionsCode0
A Question-Entailment Approach to Question AnsweringCode0
Product-Aware Answer Generation in E-Commerce Question-AnsweringCode0
Constant Time Graph Neural Networks—0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
Incremental Reading for Question Answering—0
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering—0
Semi-interactive Attention Network for Answer Understanding in Reverse-QA—0
Answer Interaction in Non-factoid Question Answering Systems—0
Multi-style Generative Reading Comprehension—0
Supervised Transfer Learning for Product Information Question Answering—0
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning—0
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring ExpressionsCode0
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering—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