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 5176–5200 of 10817 papers

TitleStatusHype
Automatic Question-Answer Generation for Long-Tail Knowledge—0
Attention-Based Convolutional Neural Network for Machine Comprehension—0
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars—0
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering—0
Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks—0
KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language—0
Deceptive Answer Prediction with User Preference Graph—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
KERMIT: Generative Insertion-Based Modeling for Sequences—0
Kernel Pooling for Convolutional Neural Networks—0
Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Learning Answer-Entailing Structures for Machine Comprehension—0
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures—0
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control—0
Keynote: Graph-based Approaches for Spoken Language Understanding—0
Keyphrase Extraction in Scientific Articles: A Supervised Approach—0
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks—0
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—0
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering—0
KEYword based Sampling (KEYS) for Large Language Models—0
Large Language Models for Social Networks: Applications, Challenges, and Solutions—0
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings—0
Improving Data Augmentation in Low-resource Question Answering with Active Learning in Multiple Stages—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