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

Showing 77017750 of 10817 papers

TitleStatusHype
GLUECoS : An Evaluation Benchmark for Code-Switched NLP0
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts0
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
Deep Multimodal Neural Architecture SearchCode1
MCQA: Multimodal Co-attention Based Network for Question Answering0
Question Answering over Curated and Open Web Sources0
Cross-lingual Information Retrieval with BERTCode0
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs0
MoVie: Revisiting Modulated Convolutions for Visual Counting and BeyondCode0
Lite Transformer with Long-Short Range AttentionCode1
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question AnsweringCode1
Generative Data Augmentation for Commonsense ReasoningCode1
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce0
Visual Question Answering Using Semantic Information from Image Descriptions0
Rapidly Bootstrapping a Question Answering Dataset for COVID-19Code1
AmbigQA: Answering Ambiguous Open-domain QuestionsCode1
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting0
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction0
Neural Abstractive Summarization with Structural Attention0
Logic-Guided Data Augmentation and Regularization for Consistent Question AnsweringCode1
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision0
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
ktrain: A Low-Code Library for Augmented Machine LearningCode2
ETC: Encoding Long and Structured Inputs in TransformersCode1
Knowledge-Based Visual Question Answering in Videos0
Bridging Anaphora Resolution as Question AnsweringCode1
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework0
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual DataCode1
A Simple Yet Strong Pipeline for HotpotQA0
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural NetworksCode1
Explaining Question Answering Models through Text GenerationCode1
An Entropy Clustering Approach for Assessing Visual Question DifficultyCode0
Visual Grounding Methods for VQA are Working for the Wrong Reasons!Code1
YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific VideosCode1
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests0
Unsupervised Commonsense Question Answering with Self-TalkCode1
Longformer: The Long-Document TransformerCode3
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Rephrasing visual questions by specifying the entropy of the answer distribution0
More Bang for Your Buck: Natural Perturbation for Robust Question Answering0
Calibrating Structured Output Predictors for Natural Language Processing0
Injecting Numerical Reasoning Skills into Language ModelsCode1
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing0
What do Models Learn from Question Answering Datasets?Code1
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question AnsweringCode1
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified