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 8801–8850 of 10817 papers

TitleStatusHype
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question AnsweringCode0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer—0
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question AnsweringCode0
Cascaded Mutual Modulation for Visual ReasoningCode0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks—0
Improving Question Answering by Commonsense-Based Pre-Training—0
Deep Relevance Ranking Using Enhanced Document-Query InteractionsCode0
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations—0
Open Domain Question Answering Using Early Fusion of Knowledge Bases and TextCode0
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering—0
t-Exponential Memory Networks for Question-Answering Machines—0
Towards Automated Customer SupportCode0
Zero-shot User Intent Detection via Capsule Neural NetworksCode0
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey—0
Deep Attention Neural Tensor Network for Visual Question Answering—0
Neural Compositional Denotational Semantics for Question Answering—0
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A PlatformsCode0
Question Answering by Reasoning Across Documents with Graph Convolutional NetworksCode0
Implementation Notes for the Soft Cosine Measure—0
Interpretation of Natural Language Rules in Conversational Machine Reading—0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question AnsweringCode0
A strong baseline for question relevancy ranking—0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
WiSeBE: Window-based Sentence Boundary EvaluationCode0
Dr. Tux: A Question Answering System for Ubuntu users—0
QuAC : Question Answering in Context—0
CoQA: A Conversational Question Answering ChallengeCode0
Adaptive Document Retrieval for Deep Question AnsweringCode0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
Computing Word Classes Using Spectral Clustering—0
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference—0
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question AnsweringCode0
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service—0
Learning to Represent Bilingual DictionariesCode0
Question-Guided Hybrid Convolution for Visual Question Answering—0
Learning to Focus when Ranking Answers—0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
ODSQA: Open-domain Spoken Question Answering DatasetCode0
Visual Reasoning with Multi-hop Feature ModulationCode0
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM—0
WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of TextsCode0
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity LinkingCode0
The APVA-TURBO Approach To Question Answering in Knowledge Base—0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps—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