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 5451–5500 of 10817 papers

TitleStatusHype
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot RetrievalCode1
Learning to Ask Like a PhysicianCode1
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Invariant Grounding for Video Question AnsweringCode1
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering—0
QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge GraphsCode0
TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based ModelsCode1
A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeCode1
Egocentric Video-Language PretrainingCode2
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual DataCode1
Revisiting the "Video" in Video-Language UnderstandingCode1
VL-BEiT: Generative Vision-Language Pretraining—0
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question AnsweringCode1
Structured Two-stream Attention Network for Video Question Answering—0
FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports—0
eRock at Qur’an QA 2022: Contemporary Deep Neural Networks for Qur’an based Reading Comprehension Question Answers—0
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification—0
Qur’an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur’an—0
QQATeam at Qur’an QA 2022: Fine-Tunning Arabic QA Models for Qur’an QA Task—0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Task-Driven and Experience-Based Question Answering Corpus for In-Home Robot Application in the House3D Virtual EnvironmentCode0
SMASH at Qur’an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering ScenariosCode0
LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an—0
TCE at Qur’an QA 2022: Arabic Language Question Answering Over Holy Qur’an Using a Post-Processed Ensemble of BERT-based ModelsCode1
RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports—0
VIMQA: A Vietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question AnsweringCode1
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
Question Answering Classification for Amharic Social Media Community Based QuestionsCode1
LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an—0
HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method—0
Stars at Qur’an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur’an with Transformer Models and Releasing a New Dataset—0
GOF at Qur’an QA 2022: Towards an Efficient Question Answering For The Holy Qu’ran In The Arabic Language Using Deep Learning-Based Approach—0
niksss at Qur’an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu’ran—0
FQuAD2.0: French Question Answering and Learning When You Don’t Know—0
Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?—0
Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments—0
Natural Questions in Icelandic—0
Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Questions—0
Do Transformer Networks Improve the Discovery of Rules from Text?—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Russian Jeopardy! Data Set for Question-Answering SystemsCode0
DeepREF: A Framework for Optimized Deep Learning-based Relation ClassificationCode0
Question Generation and Answering for exploring Digital Humanities collections—0
Know Better – A Clickbait Resolving Challenge—0
Question Modifiers in Visual Question Answering—0
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction DataCode0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—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