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 7101–7150 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
What Would a Teacher Do? Predicting Future Talk Moves—0
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity DescriptionsCode0
Grover's Algorithm for Question Answering—0
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions—0
Comprehension Based Question Answering using Bloom's Taxonomy—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Self-supervised Dialogue Learning for Spoken Conversational Question Answering—0
Meaning Representation of Numeric Fused-Heads in UCCA—0
Human-Adversarial Visual Question Answering—0
Prediction or Comparison: Toward Interpretable Qualitative Reasoning—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
Ember: No-Code Context Enrichment via Similarity-Based Keyless JoinsCode0
Minimax and Neyman-Pearson Meta-Learning for Outlier LanguagesCode0
Answer Generation for Retrieval-based Question Answering Systems—0
Learning to Rehearse in Long Sequence Memorization—0
Discrete Cosine Transform as Universal Sentence Encoder—0
Conversational Question Answering: A Survey—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
CLEVR\_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge—0
Explainable Multi-hop Verbal Reasoning Through Internal Monologue—0
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization—0
Question-aware Transformer Models for Consumer Health Question Summarization—0
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question AnsweringCode0
Enhancing Multiple-Choice Question Answering with Causal Knowledge—0
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition—0
Iterative Hierarchical Attention for Answering Complex Questions over Long Documents—0
emrKBQA: A Clinical Knowledge-Base Question Answering DatasetCode0
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization—0
MM-AVS: A Full-Scale Dataset for Multi-modal Summarization—0
Breadth First Reasoning Graph for Multi-hop Question Answering—0
MIMOQA: Multimodal Input Multimodal Output Question Answering—0
EaSe: A Diagnostic Tool for VQA based on Answer DiversityCode0
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization—0
DoT: An efficient Double Transformer for NLP tasks with tables—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