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 9801–9825 of 10817 papers

TitleStatusHype
``Look, some Green Circles!'': Learning to Quantify from Images—0
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text—0
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description—0
Improving Temporal Relation Extraction with Training Instance Augmentation—0
Together we stand: Siamese Networks for Similar Question Retrieval—0
Unanimous Prediction for 100\% Precision with Application to Learning Semantic Mappings—0
SHEF-Multimodal: Grounding Machine Translation on Images—0
Why ``Blow Out''? A Structural Analysis of the Movie Dialog Dataset—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Tables as Semi-structured Knowledge for Question Answering—0
VERSE: Event and Relation Extraction in the BioNLP 2016 Shared Task—0
TransG : A Generative Model for Knowledge Graph Embedding—0
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation—0
Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models—0
The Value of Semantic Parse Labeling for Knowledge Base Question Answering—0
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question AnsweringCode0
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs—0
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks—0
Attention-over-Attention Neural Networks for Reading ComprehensionCode0
Neural Semantic EncodersCode0
Using Recurrent Neural Network for Learning Expressive Ontologies—0
Estimating Uncertainty Online Against an Adversary—0
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeCode0
Mapping distributional to model-theoretic semantic spaces: a baselineCode0
Annotation Methodologies for Vision and Language Dataset Creation—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