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 7426–7450 of 10817 papers

TitleStatusHype
Can Transformers Reason About Effects of Actions?—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR—0
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps—0
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
Conversational BrowsingCode0
Grammar-aware sentence classification on quantum computers—0
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation—0
WeaQA: Weak Supervision via Captions for Visual Question Answering—0
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
ClimaText: A Dataset for Climate Change Topic Detection—0
Exploring the zero-shot limit of FewRelCode0
Towards Knowledge-Augmented Visual Question AnsweringCode0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
Open-Ended Multi-Modal Relational Reasoning for Video Question AnsweringCode0
Transformer Semantic Parsing—0
Evaluating Explanations: How much do explanations from the teacher aid students?Code0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Using the Poly-encoder for a COVID-19 Question Answering SystemCode0
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering—0
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—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