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 7951–8000 of 10817 papers

TitleStatusHype
Neural Duplicate Question Detection without Labeled Training DataCode0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
A Survey on Why-Type Question Answering Systems—0
Biomedical Evidence Generation Engine—0
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation—0
Meta Answering for Machine Reading—0
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence SelectionCode0
Learning to Order Sub-questions for Complex Question Answering—0
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications—0
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering—0
Knowledge Guided Text Retrieval and Reading for Open Domain Question AnsweringCode1
Knowledge Guided Named Entity Recognition for BioMedical Text—0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
Hierarchical Graph Network for Multi-hop Question AnsweringCode0
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense ReasoningCode0
Are we asking the right questions in MovieQA?—0
Why Do Masked Neural Language Models Still Need Common Sense Knowledge?—0
The TechQA DatasetCode0
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification—0
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot FlyCode0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question AnsweringCode1
Blockwise Self-Attention for Long Document UnderstandingCode0
Dice Loss for Data-imbalanced NLP TasksCode0
Contextualized Sparse Representations for Real-Time Open-Domain Question AnsweringCode1
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks—0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection—0
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network—0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World—0
BAS: An Answer Selection Method Using BERT Language Model—0
Learning from Explanations with Neural Execution TreeCode0
Question Answering for Privacy Policies: Combining Computational and Legal PerspectivesCode0
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering—0
Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset—0
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Ranking and Sampling in Open-Domain Question Answering—0
Fine-tune BERT with Sparse Self-Attention Mechanism—0
Finding Generalizable Evidence by Learning to Convince Q\&A Models—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Exploring Diverse Expressions for Paraphrase Generation—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
Can You Unpack That? Learning to Rewrite Questions-in-Context—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension—0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling—0
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering—0
Memory Graph Networks for Explainable Memory-grounded Question Answering—0
Video Dialog via Progressive Inference and Cross-Transformer—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