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 6301–6350 of 10817 papers

TitleStatusHype
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain—0
Visual Superordinate Abstraction for Robust Concept Learning—0
V-Doc : Visual questions answers with Documents—0
Prompt-based Learning for Unpaired Image Captioning—0
Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm—0
Asking the Right Questions in Low Resource Template Extraction—0
Reasoning over Logically Interacted Conditions for Question Answering—0
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering—0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
Re-Examining Calibration: The Case of Question AnsweringCode0
Guiding Visual Question Answering with Attention Priors—0
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
A Survey on Neural Open Information Extraction: Current Status and Future Directions—0
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization—0
Community Question Answering Entity Linking via Leveraging Auxiliary DataCode0
Policy Compliance Detection via Expression Tree Inference—0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering—0
Interpretable Proof Generation via Iterative Backward ReasoningCode0
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models—0
NS3: Neuro-Symbolic Semantic Code SearchCode0
Transition-based Semantic Role Labeling with Pointer NetworksCode0
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection—0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Sentences as connection paths: A neural language architecture of sentence structure in the brain—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
Evaluation of Transfer Learning for Polish with a Text-to-Text Model—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Gender and Racial Bias in Visual Question Answering Datasets—0
Trustworthy Graph Neural Networks: Aspects, Methods and Trends—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
A Neuro-Symbolic ASP Pipeline for Visual Question AnsweringCode0
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data—0
Harnessing Multilingual Resources to Question Answering in Arabic—0
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering—0
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering—0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Towards Answering Open-ended Ethical Quandary Questions—0
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures—0
Joint learning of object graph and relation graph for visual question answering—0
Multilevel Hierarchical Network with Multiscale Sampling for Video Question AnsweringCode0
Chart Question Answering: State of the Art and Future Directions—0
Better Retrieval May Not Lead to Better 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