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 37013710 of 10817 papers

TitleStatusHype
QuASE: Question-Answer Driven Sentence EncodingCode0
Intelligent Assistant for People with Low Vision AbilitiesCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Image Content Generation with Causal ReasoningCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Exploring The Visual Feature Space for Multimodal Neural DecodingCode0
Exploring the zero-shot limit of FewRelCode0
Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringCode0
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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