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 5126–5150 of 10817 papers

TitleStatusHype
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph—0
Attention-Based Methods For Audio Question Answering—0
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging—0
Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models—0
Joint Relational Embeddings for Knowledge-based Question Answering—0
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference—0
Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees—0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Detecting Ongoing Events Using Contextual Word and Sentence Embeddings—0
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers—0
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems—0
JU\_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations—0
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking—0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
Attention-Based Convolutional Neural Network for Machine Comprehension—0
DBpedia Domains: augmenting DBpedia with domain information—0
Automatic Identifying Entity Type in Linked Data—0
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars—0
Language Models as a Knowledge Source for Cognitive Agents—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