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 9251–9275 of 10817 papers

TitleStatusHype
Guess What: A Question Answering Game via On-demand Knowledge Validation—0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Lexical Simplification with the Deep Structured Similarity Model—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base—0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
Assessing the Verifiability of Attributions in News Text—0
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Efficiency-aware Answering of Compositional Questions using Answer Type Prediction—0
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains—0
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
Summarizing Lengthy Questions—0
DCN+: Mixed Objective and Deep Residual Coattention for Question AnsweringCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering—0
Phase Conductor on Multi-layered Attentions for Machine Comprehension—0
Rotational Unit of MemoryCode0
Using Multi-Label Classification for Improved Question AnsweringCode0
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering—0
iVQA: Inverse Visual Question Answering—0
Smarnet: Teaching Machines to Read and Comprehend Like Human—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