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 7101–7125 of 10817 papers

TitleStatusHype
An Intelligent Question Answering System based on Power Knowledge Graph—0
Disentangling Online Chats with DAG-Structured LSTMs—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
Exploiting Sentence-Level Representations for Passage RankingCode0
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question AnsweringCode0
NAAQA: A Neural Architecture for Acoustic Question AnsweringCode0
Bayesian Attention Belief Networks—0
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity DescriptionsCode0
What Would a Teacher Do? Predicting Future Talk Moves—0
Grover's Algorithm for Question Answering—0
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
Comprehension Based Question Answering using Bloom's Taxonomy—0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Meaning Representation of Numeric Fused-Heads in UCCA—0
Self-supervised Dialogue Learning for Spoken Conversational Question Answering—0
Prediction or Comparison: Toward Interpretable Qualitative Reasoning—0
Human-Adversarial Visual Question Answering—0
Grounding Complex Navigational Instructions Using Scene Graphs—0
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized StudyCode0
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers—0
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?Code0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—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