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 5376–5400 of 10817 papers

TitleStatusHype
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question AnsweringCode0
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.—0
Contrastive Data and Learning for Natural Language Processing—0
Constraint-based Multi-hop Question Answering with Knowledge Graph—0
UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model—0
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
A Sequence Modelling Approach to Question Answering in Text-Based Games—0
PerKGQA: Question Answering over Personalized Knowledge Graphs—0
On Curriculum Learning for Commonsense ReasoningCode0
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition—0
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering—0
Capturing Conversational Interaction for Question Answering via Global History ReasoningCode0
PINGAN_AI at SemEval-2022 Task 9: Recipe knowledge enhanced model applied in Competence-based Multimodal Question Answering—0
Transfer Learning and Masked Generation for Answer Verbalization—0
Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question AnsweringCode0
Logical Story Representations via FrameNet + Semantic Parsing—0
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning—0
Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering—0
Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles—0
An Encoder Attribution Analysis for Dense Passage Retriever in Open-Domain Question Answering—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