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 8501–8550 of 10817 papers

TitleStatusHype
Option Comparison Network for Multiple-choice Reading Comprehension—0
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases—0
Bidirectional Attentive Memory Networks for Question Answering over Knowledge BasesCode1
Multi-Instance Learning for End-to-End Knowledge Base Question Answering—0
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs—0
Data-driven Approach for Quality Evaluation on Knowledge Sharing PlatformCode0
Answer Them All! Toward Universal Visual Question Answering ModelsCode0
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsCode0
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
Dual Attention Networks for Visual Reference Resolution in Visual DialogCode0
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds—0
Lattice CNNs for Matching Based Chinese Question AnsweringCode1
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringCode1
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
Cycle-Consistency for Robust Visual Question Answering—0
Contextual Word Representations: A Contextual IntroductionCode1
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Language Models are Unsupervised Multitask LearnersCode1
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 Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base—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
Implicit Dimension Identification in User-Generated Text with LSTM Networks—0
Language Model Pre-training for Hierarchical Document Representations—0
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
A BERT Baseline for the Natural QuestionsCode0
Constant Time Graph Neural Networks—0
Product-Aware Answer Generation in E-Commerce Question-AnsweringCode0
A Question-Entailment Approach to Question AnsweringCode0
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
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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