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 7976–8000 of 10817 papers

TitleStatusHype
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