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 6651–6675 of 10817 papers

TitleStatusHype
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants—0
Unsupervised Matching of Data and TextCode0
Block-Skim: Efficient Question Answering for TransformerCode0
Long Context Question Answering via Supervised Contrastive LearningCode0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
3D Question Answering—0
Learning to Transpile AMR into SPARQL—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
You Only Need One Model for Open-domain Question Answering—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
Multi-Row, Multi-Span Distant Supervision For Table+Text Question—0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
Explanation Container in Case-Based Biomedical Question-Answering—0
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
Findings on Conversation Disentanglement—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling—0
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features—0
Semantic Search as Extractive Paraphrase Span DetectionCode0
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
Improving language models by retrieving from trillions of tokensCode0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—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