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 4926–4950 of 10817 papers

TitleStatusHype
Integrating Vision and Language Datasets to Measure Word Concreteness—0
PolQA: Polish Question Answering Dataset—0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
Analyzing Patient Records to Establish If and When a Patient Suffered from a Medical Condition—0
Knowledge Acquisition for Visual Question Answering via Iterative Querying—0
Intent Recognition in Conversational Recommender Systems—0
Knowledge-Aided Open-Domain Question Answering—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Biomedical Evidence Generation Engine—0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Text—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Cross-lingual Transfer of Semantic Role Labeling Models—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
Improving Question Answering by Commonsense-Based Pre-Training—0
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen—0
Knowing Where to Look? Analysis on Attention of Visual Question Answering System—0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Interactive Natural Language Query Construction for Report Generation—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models—0
Interactive Question Answering Systems: Literature Review—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Counterfactual Vision and Language Learning—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