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 8701–8725 of 10817 papers

TitleStatusHype
Listening Comprehension over Argumentative Content—0
Cross-topic Argument Mining from Heterogeneous Sources—0
QuAC: Question Answering in Context—0
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller—0
A State-transition Framework to Answer Complex Questions over Knowledge Base—0
Answer-focused and Position-aware Neural Question Generation—0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Multimodal Differential Network for Visual Question Generation—0
Cross-Pair Text Representations for Answer Sentence SelectionCode0
Characterizing Interactions and Relationships between People—0
Convolutional Interaction Network for Natural Language Inference—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension—0
Deep Attentive Sentence Ordering Network—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
A Nil-Aware Answer Extraction Framework for Question AnsweringCode0
A Probabilistic Annotation Model for Crowdsourcing Coreference—0
Knowledge Base Question Answering via Encoding of Complex Query GraphsCode0
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksCode1
Frustratingly Easy Model Ensemble for Abstractive Summarization—0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Learning Scalar Adjective Intensity from Paraphrases—0
Grounding Semantic Roles in Images—0
Somm: Into the Model—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