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 8101–8150 of 10817 papers

TitleStatusHype
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions—0
Answering Naturally: Factoid to Full length Answer GenerationCode0
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering—0
Memory Graph Networks for Explainable Memory-grounded Question Answering—0
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension—0
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading ComprehensionCode0
Learning with Limited Data for Multilingual Reading Comprehension—0
TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration—0
Bend but Don't Break? Multi-Challenge Stress Test for QA Models—0
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling—0
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis—0
Representing Movie Characters in Dialogues—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning—0
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning BaselinesCode0
Do Multi-hop Readers Dream of Reasoning Chains?Code0
A neural document language modeling framework for spoken document retrieval—0
What Question Answering can Learn from Trivia Nerds—0
Ensembling Strategies for Answering Natural Questions—0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation—0
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering—0
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education—0
Sentence Embeddings for Russian NLUCode0
Learning Rich Image Region Representation for Visual Question Answering—0
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base—0
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
Thieves on Sesame Street! Model Extraction of BERT-based APIsCode0
QASC: A Dataset for Question Answering via Sentence CompositionCode0
On the Cross-lingual Transferability of Monolingual RepresentationsCode0
SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering—0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis—0
BanditRank: Learning to Rank Using Contextual Bandits—0
KnowIT VQA: Answering Knowledge-Based Questions about Videos—0
Relation Module for Non-answerable Prediction on Question Answering—0
Question Answering over Knowledge Graphs via Structural Query Patterns—0
Capturing Greater Context for Question GenerationCode0
MRQA 2019 Shared Task: Evaluating Generalization in Reading ComprehensionCode0
Towards Combinational Relation Linking over Knowledge Graphs—0
Enforcing Reasoning in Visual Commonsense Reasoning—0
Domain-agnostic Question-Answering with Adversarial TrainingCode0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
Relational Graph Representation Learning for Open-Domain Question Answering—0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document InputsCode0
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableCode0
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank EnsembleCode0
Universal Text Representation from BERT: An Empirical Study—0
Unsupervised Question Answering for Fact-Checking—0
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge—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