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 6626–6650 of 10817 papers

TitleStatusHype
Human-Adversarial Visual Question Answering—0
Syntax-augmented Multilingual BERT for Cross-lingual TransferCode1
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?Code1
Question Answering Over Temporal Knowledge GraphsCode1
Grounding Complex Navigational Instructions Using Scene Graphs—0
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News TextCode1
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
Efficient Passage Retrieval with Hashing for Open-domain Question AnsweringCode1
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers—0
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
Knowing More About Questions Can Help: Improving Calibration in Question AnsweringCode1
Conversational Question Answering: A Survey—0
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized StudyCode0
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations—0
Enhancing Multiple-Choice Question Answering with Causal Knowledge—0
Are we there yet? Exploring clinical domain knowledge of BERT models—0
emrKBQA: A Clinical Knowledge-Base Question Answering DatasetCode0
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization—0
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization—0
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA—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