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 5101–5125 of 10817 papers

TitleStatusHype
Data Augmentation for Visual Question Answering—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Data augmentation techniques for the Video Question Answering task—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
Joint Entity Recognition and Disambiguation—0
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks—0
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron—0
Joint Image Captioning and Question Answering—0
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences—0
Joint Inference for Heterogeneous Dependency Parsing—0
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
Joint Learning of Entity Linking Constraints Using a Markov-Logic Network—0
Joint learning of object graph and relation graph for visual question answering—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Attention-Based Methods For Audio Question Answering—0
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging—0
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World—0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank—0
Detecting Ongoing Events Using Contextual Word and Sentence Embeddings—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