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

Showing 75017525 of 10817 papers

TitleStatusHype
Logically Consistent Loss for Visual Question Answering0
Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example0
Do Fine-tuned Commonsense Language Models Really Generalize?0
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs0
Generating Natural Questions from Images for Multimodal Assistants0
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering0
ActBERT: Learning Global-Local Video-Text RepresentationsCode0
Meaningful Answer Generation of E-Commerce Question-Answering0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models0
Biomedical Named Entity Recognition at ScaleCode0
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing0
Medical Knowledge-enriched Textual Entailment Framework0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering0
Generating Fact Checking Briefs0
CapWAP: Captioning with a Purpose0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks0
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development0
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering0
Language Model is All You Need: Natural Language Understanding as Question Answering0
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources0
Muti-view Mouse Social Behaviour Recognition with Deep Graphical ModelCode0
An Improved Attention for Visual Question AnsweringCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified