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 8951–8975 of 10817 papers

TitleStatusHype
Syntax for Semantic Role Labeling, To Be, Or Not To BeCode0
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions—0
Tackling Code-Switched NER: Participation of CMU—0
Tackling Adversarial Examples in QA via Answer Sentence Selection—0
The price of debiasing automatic metrics in natural language evalaution—0
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results—0
Visual Attention Model for Name Tagging in Multimodal Social Media—0
One-shot Learning for Question-Answering in Gaokao History ChallengeCode0
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video FeaturesCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Comparative Analysis of Neural QA models on SQuAD—0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Learning Visual Knowledge Memory Networks for Visual Question Answering—0
FigureNet: A Deep Learning model for Question-Answering on Scientific Plots—0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question AnsweringCode0
Focused Hierarchical RNNs for Conditional Sequence Processing—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Prosody Modifications for Question-Answering in Voice-Only SettingsCode0
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task—0
Cross-Dataset Adaptation for Visual Question Answering—0
Learning Answer Embeddings for Visual Question Answering—0
SciDTB: Discourse Dependency TreeBank for Scientific AbstractsCode0
Learning to Search in Long Documents Using Document StructureCode0
CS-VQA: Visual Question Answering with Compressively Sensed Images—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