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 7151–7175 of 10817 papers

TitleStatusHype
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models—0
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA—0
Discovering Better Model Architectures for Medical Query Understanding—0
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT—0
AVA: an Automatic eValuation Approach for Question Answering Systems—0
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?Code0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction—0
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems—0
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index—0
Question-aware Transformer Models for Consumer Health Question Summarization—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Corpus-Based Paraphrase Detection Experiments and Review—0
A Compression-Compilation Framework for On-mobile Real-time BERT Applications—0
Pre-training Universal Language Representation—0
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question AnsweringCode0
Is Sluice Resolution really just Question Answering?—0
Feature extraction and evaluation for BioMedical Question Answering—0
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?Code0
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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