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 9676–9700 of 10817 papers

TitleStatusHype
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
Vanilla Classifiers for Distinguishing between Similar Languages—0
Towards Building A Domain Agnostic Natural Language Interface to Real-World Relational Databases—0
The Open Framework for Developing Knowledge Base And Question Answering System—0
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity—0
Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking—0
Learning a Natural Language Interface with Neural ProgrammerCode0
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning—0
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning—0
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answeringCode0
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic—0
Zero-Shot Visual Question Answering—0
SimDoc: Topic Sequence Alignment based Document Similarity Framework—0
Knowledge Enhanced Hybrid Neural Network for Text Matching—0
Leveraging Video Descriptions to Learn Video Question Answering—0
Training IBM Watson using Automatically Generated Question-Answer Pairs—0
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering—0
Hierarchical Question Answering for Long Documents—0
Self-Wiring Question Answering Systems—0
Bidirectional Attention Flow for Machine ComprehensionCode0
Dynamic Coattention Networks For Question AnsweringCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Answering Complicated Question Intents Expressed in Decomposed Question Sequences—0
Dual Attention Networks for Multimodal Reasoning and MatchingCode0
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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