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 7026–7050 of 10817 papers

TitleStatusHype
Towards a more Robust Evaluation for Conversational Question Answering—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question AnsweringCode0
BiQuAD: Towards QA based on deeper text understanding—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation—0
Learning to Generate Questions by Learning to Recover Answer-containing Sentences—0
Learning Faithful Representations of Causal Graphs—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
DESCGEN: A Distantly Supervised Datasetfor Generating Entity DescriptionsCode0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
Attribute Value Generation from Product Title using Language Models—0
COSY: COunterfactual SYntax for Cross-Lingual UnderstandingCode0
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes—0
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction—0
Comprehension Based Question Answering using Bloom’s Taxonomy—0
Combining Open Domain Question Answering with a Task-Oriented Dialog System—0
Automatic Claim Review for Climate Science via Explanation Generation—0
An Online Question Answering System based on Sub-graph Searching—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