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 5351–5400 of 10817 papers

TitleStatusHype
A Novel DeBERTa-based Model for Financial Question Answering Task—0
Video Graph Transformer for Video Question AnsweringCode1
Effective Few-Shot Named Entity Linking by Meta-LearningCode0
A Survey on Table Question Answering: Recent Advances—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode1
Embedding Recycling for Language ModelsCode1
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge BaseCode0
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question AnsweringCode1
OVQA: A Clinically Generated Visual Question Answering Dataset—0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
CoQAR: Question Rewriting on CoQACode1
BioTABQA: Instruction Learning for Biomedical Table Question Answering—0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningCode0
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3—0
Weakly Supervised Grounding for VQA in Vision-Language TransformersCode1
Topic Community Based Temporal Expertise for Question Routing—0
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering—0
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN—0
Vision-and-Language PretrainingCode0
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic—0
Discourse-Aware Graph Networks for Textual Logical Reasoning—0
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages—0
INSCIT: Information-Seeking Conversations with Mixed-Initiative InteractionsCode1
Rationale-Augmented Ensembles in Language Models—0
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer—0
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