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 6276–6300 of 10817 papers

TitleStatusHype
Do Transformer Networks Improve the Discovery of Rules from Text?—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an—0
Task-Driven and Experience-Based Question Answering Corpus for In-Home Robot Application in the House3D Virtual EnvironmentCode0
L’importance des entités pour la tâche de détection d’événements en tant que système de question-réponse (Exploring Entities in Event Detection as Question Answering)—0
Russian Jeopardy! Data Set for Question-Answering SystemsCode0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Qur’an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur’an—0
LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an—0
DeepREF: A Framework for Optimized Deep Learning-based Relation ClassificationCode0
Know Better – A Clickbait Resolving Challenge—0
Question Generation and Answering for exploring Digital Humanities collections—0
niksss at Qur’an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu’ran—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—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
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction DataCode0
HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method—0
Synthetic Data Generation for Multilingual Domain-Adaptable Question Answering Systems—0
QQATeam at Qur’an QA 2022: Fine-Tunning Arabic QA Models for Qur’an QA Task—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)—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
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Generating Questions from Wikidata Triples—0
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain—0
Show:102550
← PrevPage 252 of 433Next →
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