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 8251–8300 of 10817 papers

TitleStatusHype
Automatic Propbank Generation for Turkish—0
QuASE: Question-Answer Driven Sentence EncodingCode0
QAInfomax: Learning Robust Question Answering System by Mutual Information MaximizationCode0
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension—0
Answering Conversational Questions on Structured Data without Logical Forms—0
Single Training Dimension Selection for Word Embedding with PCA—0
Ellipsis Resolution as Question Answering: An EvaluationCode0
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering—0
Adversarial Representation Learning for Text-to-Image Matching—0
Visual Question Answering using Deep Learning: A Survey and Performance AnalysisCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning—0
Ensemble approach for natural language question answering problem—0
Attentive History Selection for Conversational Question AnsweringCode0
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural NetworksCode0
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering—0
Revisiting Semantic Representation and Tree Search for Similar Question RetrievalCode0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level—0
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models—0
Question Answering based Clinical Text Structuring Using Pre-trained Language Model—0
Message Passing for Complex Question Answering over Knowledge GraphsCode0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
Transfer in Deep Reinforcement Learning using Knowledge Graphs—0
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
What is needed for simple spatial language capabilities in VQA?—0
CFO: A Framework for Building Production NLP Systems—0
Learning Representations and Agents for Information Retrieval—0
Abductive Commonsense ReasoningCode0
Multi-class Hierarchical Question Classification for Multiple Choice Science ExamsCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete ReasoningCode0
Reasoning-Driven Question-Answering for Natural Language Understanding—0
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling—0
SG-Net: Syntax-Guided Machine Reading ComprehensionCode0
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs—0
Fusion of Detected Objects in Text for Visual Question Answering—0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding—0
Variational Fusion for Multimodal Sentiment Analysis—0
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA SystemCode0
Multimodal Unified Attention Networks for Vision-and-Language Interactions—0
Why Does a Visual Question Have Different Answers?—0
AmazonQA: A Review-Based Question Answering TaskCode0
Multi-modality Latent Interaction Network for Visual Question Answering—0
Question-Agnostic Attention for Visual Question Answering—0
TEQUILA: Temporal Question Answering over Knowledge Bases—0
A Generate-Validate Approach to Answering Questions about Qualitative Relationships—0
CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense—0
Mitigating Noisy Inputs for Question Answering—0
Answering Questions about Data Visualizations using Efficient Bimodal FusionCode0
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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