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 8651–8700 of 10817 papers

TitleStatusHype
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension—0
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering—0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
On the Effectiveness of Minimal Context Selection for Robust Question Answering—0
Compositional Attention Networks for Interpretability in Natural Language Question Answering—0
Do Explanations make VQA Models more Predictable to a Human?—0
ReviewQA: a relational aspect-based opinion reading dataset—0
TallyQA: Answering Complex Counting QuestionsCode0
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network—0
Neural Modular Control for Embodied Question AnsweringCode0
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering—0
Text Embeddings for Retrieval From a Large Knowledge Base—0
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play—0
Making question answering more robust through relevant context selection—0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
A Fully Attention-Based Information RetrieverCode0
A Knowledge-Grounded Multimodal Search-Based Conversational AgentCode0
Lightweight Convolutional Approaches to Reading Comprehension on SQuAD—0
Adversarial TableQA: Attention Supervision for Question Answering on Tables—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Finding Similar Medical Questions from Question Answering Websites—0
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension—0
U-Net: Machine Reading Comprehension with Unanswerable QuestionsCode0
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Knowing Where to Look? Analysis on Attention of Visual Question Answering System—0
The combination of context information to enhance simple question answering—0
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms—0
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization—0
FlowQA: Grasping Flow in History for Conversational Machine ComprehensionCode0
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences—0
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset—0
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingCode0
Transfer Learning via Unsupervised Task Discovery for Visual Question AnsweringCode0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
Commonsense Knowledge Base Completion and Generation—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Linguistically-Based Deep Unstructured Question Answering—0
Facts That MatterCode0
QuAC: Question Answering in Context—0
A Unified Syntax-aware Framework for Semantic Role LabelingCode0
Knowledge Base Question Answering via Encoding of Complex Query GraphsCode0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Cross-Pair Text Representations for Answer Sentence SelectionCode0
A State-transition Framework to Answer Complex Questions over Knowledge Base—0
Neural Transition Based Parsing of Web Queries: An Entity Based Approach—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
Multimodal Differential Network for Visual Question Generation—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