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

Showing 37913800 of 10817 papers

TitleStatusHype
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
Contextual Dropout: An Efficient Sample-Dependent Dropout ModuleCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Identifying relevant common sense information in knowledge graphsCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge GraphsCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Context Independent Term Mapper for European LanguagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified