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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6951–7000 of 10817 papers

TitleStatusHype
Powering COVID-19 community Q&A with Curated Side Information—0
Knowledge-driven Natural Language Understanding of English Text and its Applications—0
VisualMRC: Machine Reading Comprehension on Document ImagesCode1
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
Representations for Question Answering from Documents with Tables and Text—0
Unanswerable Questions about Images and Texts—0
Meta-Learning for Effective Multi-task and Multilingual ModellingCode0
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks—0
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation—0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation—0
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds—0
Towards Confident Machine Reading Comprehension—0
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering—0
Mitigating the Position Bias of Transformer Models in Passage Re-RankingCode1
Incremental Knowledge Based Question Answering—0
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification—0
What Makes Good In-Context Examples for GPT-3?Code4
HySTER: A Hybrid Spatio-Temporal Event Reasoner—0
Understanding in Artificial Intelligence—0
Transformer-Based Models for Question Answering on COVID19—0
Match-Ignition: Plugging PageRank into Transformer for Long-form Text MatchingCode1
Latent Variable Models for Visual Question Answering—0
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering—0
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge—0
Recent Advances in Video Question Answering: A Review of Datasets and Methods—0
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC—0
TSQA: Tabular Scenario Based Question AnsweringCode1
Understanding the Role of Scene Graphs in Visual Question Answering—0
Latent Alignment of Procedural Concepts in Multimodal RecipesCode0
Predicting Relative Depth between Objects from Semantic Features—0
Deep Learning applications for COVID-19—0
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision SignalsCode1
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient SparsityCode2
A Neural Question Answering System for Basic Questions about Subroutines—0
Learning Better Sentence Representation with Syntax Information—0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph—0
Self Supervision for Attention NetworksCode0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
SF-QA: Simple and Fair Evaluation Library for Open-domain Question AnsweringCode1
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
Modeling Global Semantics for Question Answering over Knowledge Bases—0
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge GraphCode1
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation—0
Transformers in Vision: A Survey—0
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
Few-Shot Question Answering by Pretraining Span SelectionCode1
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering—0
Show:102550
← PrevPage 140 of 217Next →
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