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 9226–9250 of 10817 papers

TitleStatusHype
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Guess What: A Question Answering Game via On-demand Knowledge Validation—0
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering—0
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
Integrating Vision and Language Datasets to Measure Word Concreteness—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Assessing the Verifiability of Attributions in News Text—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Efficiency-aware Answering of Compositional Questions using Answer Type Prediction—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Lexical Simplification with the Deep Structured Similarity Model—0
Summarizing Lengthy Questions—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains—0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation—0
Paraphrase Generation with Deep Reinforcement Learning—0
DCN+: Mixed Objective and Deep Residual Coattention for Question AnsweringCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
Indirect Supervision for Relation Extraction using Question-Answer PairsCode1
Graph Attention NetworksCode1
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering—0
Simple and Effective Multi-Paragraph Reading ComprehensionCode1
Phase Conductor on Multi-layered Attentions for Machine Comprehension—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