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 8601–8625 of 10817 papers

TitleStatusHype
Answering Science Exam Questions Using Query Reformulation with Background Knowledge—0
End-to-End Learning for Answering Structured Queries Directly over Text—0
Improving Skin Condition Classification with a Question Answering Model—0
Exploiting Sentence Embedding for Medical Question Answering—0
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering—0
Cross-lingual Short-text Matching with Deep Learning—0
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
Blindfold Baselines for Embodied QACode0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Densely Connected Attention Propagation for Reading ComprehensionCode1
Adversarial Sampling and Training for Semi-Supervised Information Retrieval—0
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach—0
Towards Compositional Distributional Discourse Analysis—0
Compositional Language Understanding with Text-based Relational ReasoningCode0
Parser Extraction of Triples in Unstructured TextCode0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
Zero-Shot Transfer VQA Dataset—0
Automatic Opinion Question GenerationCode0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.—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