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 5551–5575 of 10817 papers

TitleStatusHype
Linguistically Driven Graph Capsule Network for Visual Question Reasoning—0
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering—0
ATM: Action Temporality Modeling for Video Question Answering—0
Learning from Limited Labels for Long Legal Dialogue—0
Convolutional Interaction Network for Natural Language Inference—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Discourse Analysis and Its Applications—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
Discourse-Based Approach to Involvement of Background Knowledge for Question Answering—0
Discourse-Aware Graph Networks for Textual Logical Reasoning—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Learning Representations and Agents for Information Retrieval—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—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