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 6651–6700 of 10817 papers

TitleStatusHype
Long Context Question Answering via Supervised Contrastive LearningCode0
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants—0
Block-Skim: Efficient Question Answering for TransformerCode0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Unsupervised Matching of Data and TextCode0
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
Few-shot Multi-hop Question Answering over Knowledge Base—0
Multi-Row, Multi-Span Distant Supervision For Table+Text Question—0
You Only Need One Model for Open-domain Question Answering—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
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features—0
Semantic Search as Extractive Paraphrase Span DetectionCode0
Improving language models by retrieving from trillions of tokensCode0
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices—0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—0
Automated Story Generation as Question-Answering—0
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering—0
A Russian Jeopardy! Data Set for Question-Answering SystemsCode0
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Evaluation of Review Summaries via Question-Answering—0
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
eaVQA: An Experimental Analysis on Visual Question Answering Models—0
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering—0
Curriculum Learning Effectively Improves Low Data VQA—0
Action based Network for Conversation Question Reformulation—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results—0
Answer Generation for Questions With Multiple Information Sources in E-Commerce—0
Tapping BERT for Preposition Sense Disambiguation—0
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process—0
Scene Graph Generation with Geometric Context—0
TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect—0
Zero-Shot Open-Book Question AnsweringCode0
A Confidence-Based Interface for Neuro-Symbolic Visual Question Answering—0
Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
Building a Question Answering System for the Manufacturing Domain—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