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 7401–7450 of 10817 papers

TitleStatusHype
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA—0
A Multimodal Memes Classification: A Survey and Open Research Issues—0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
Generation-Augmented Retrieval for Open-domain Question AnsweringCode1
Question Directed Graph Attention Network for Numerical Reasoning over TextCode0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Leveraging Semantic Parsing for Relation Linking over Knowledge BasesCode1
Knowledge Graphs for Multilingual Language Translation and Generation—0
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding—0
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA—0
Towards an Atlas of Cultural Commonsense for Machine Reasoning—0
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
Accelerating Real-Time Question Answering via Question Generation—0
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs—0
Pay Attention when RequiredCode0
Aspect Classification for Legal Depositions—0
QED: A Framework and Dataset for Explanations in Question AnsweringCode1
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce—0
KILT: a Benchmark for Knowledge Intensive Language TasksCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
SRQA: Synthetic Reader for Factoid Question AnsweringCode0
Revisiting the Open-Domain Question Answering Pipeline—0
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing ModelsCode1
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge GraphsCode0
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering—0
Classifier Combination Approach for Question Classification for Bengali Question Answering System—0
HittER: Hierarchical Transformers for Knowledge Graph EmbeddingsCode1
Rethinking the Objectives of Extractive Question AnsweringCode0
AllenAct: A Framework for Embodied AI ResearchCode1
A Dataset and Baselines for Visual Question Answering on ArtCode1
Visual Question Answering on Image Sets—0
Relation/Entity-Centric Reading Comprehension—0
Opinion-aware Answer Generation for Review-driven Question Answering in E-CommerceCode0
Continual Domain Adaptation for Machine Reading Comprehension—0
Example-Based Named Entity RecognitionCode1
Quantum Language Model with Entanglement Embedding for Question Answering—0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Data augmentation techniques for the Video Question Answering task—0
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach—0
Document Visual Question Answering Challenge 2020—0
AutoKG: Constructing Virtual Knowledge Graphs from Unstructured Documents for Question Answering—0
An Annotated Corpus of Webtables for Information Extraction Tasks—0
Commonsense Knowledge in Wikidata—0
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question AnsweringCode0
Assisting Scene Graph Generation with Self-Supervision—0
Location-aware Graph Convolutional Networks for Video Question AnsweringCode1
Question and Answer Test-Train Overlap in Open-Domain Question Answering DatasetsCode1
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering—0
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs—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