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 9476–9500 of 10817 papers

TitleStatusHype
Multimodal Machine Learning: Integrating Language, Vision and Speech—0
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
Segmentation Guided Attention Networks for Visual Question Answering—0
Self-Crowdsourcing Training for Relation Extraction—0
Search-based Neural Structured Learning for Sequential Question Answering—0
Neural Question Answering at BioASQ 5B—0
RelNet: End-to-End Modeling of Entities & Relations—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Compact Tensor Pooling for Visual Question Answering—0
Neural Models for Key Phrase Detection and Question Generation—0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Gated Orthogonal Recurrent Units: On Learning to ForgetCode0
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
Question Answering and Question Generation as Dual Tasks—0
A Joint Model for Question Answering and Question Generation—0
A simple neural network module for relational reasoningCode0
Deep learning evaluation using deep linguistic processing—0
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities—0
Book Review: Linked Lexical Knowledge Bases Foundations and Applications by Iryna Gurevych, Judith Eckle-er and Michael Matuschek—0
Framing QA as Building and Ranking Intersentence Answer Justifications—0
Learning to Compute Word Embeddings On the Fly—0
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsCode0
Question-Answering with Grammatically-Interpretable Representations—0
Towards a Knowledge Graph based Speech Interface—0
Ask the Right Questions: Active Question Reformulation with Reinforcement LearningCode0
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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