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 6226–6250 of 10817 papers

TitleStatusHype
Memory Augmented Neural Networks for Natural Language Processing—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering—0
A New Approach for Idiom Identification Using Meanings and the Web—0
Adversarial TableQA: Attention Supervision for Question Answering on Tables—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Constraints for Consistent Timeline Extraction—0
Dimensions of Interpersonal Relationships: Corpus and Experiments—0
Learning Compositional Representation for Few-shot Visual Question Answering—0
Learning Compact Lexicons for CCG Semantic Parsing—0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
Different Questions, Different Models: Fine-Grained Evaluation of Uncertainty and Calibration in Clinical QA with LLMs—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
Learning by Asking Questions—0
ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion—0
MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare—0
Learning Biological Processes with Global Constraints—0
Learning Better Sentence Representation with Syntax Information—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering—0
Meta Answering for Machine Reading—0
Learning Answer-Entailing Structures for Machine Comprehension—0
Allies: Prompting Large Language Model with Beam Search—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