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 22012250 of 10817 papers

TitleStatusHype
Contextual Word Representations: A Contextual IntroductionCode1
Language Models are Unsupervised Multitask LearnersCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
Densely Connected Attention Propagation for Reading ComprehensionCode1
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksCode1
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringCode1
Transforming Question Answering Datasets Into Natural Language Inference DatasetsCode1
Faithful Multimodal Explanation for Visual Question AnsweringCode1
emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsCode1
Evaluating Theory of Mind in Question AnsweringCode1
Explainable Neural Computation via Stack Neural Module NetworksCode1
Jack the Reader - A Machine Reading FrameworkCode1
The Natural Language Decathlon: Multitask Learning as Question AnsweringCode1
Know What You Don't Know: Unanswerable Questions for SQuADCode1
Improving Language Understanding by Generative Pre-TrainingCode1
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringCode1
QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionCode1
Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening ComprehensionCode1
Deep contextualized word representationsCode1
Interactive Grounded Language Acquisition and Generalization in a 2D WorldCode1
AI2-THOR: An Interactive 3D Environment for Visual AICode1
Graph Attention NetworksCode1
Indirect Supervision for Relation Extraction using Question-Answer PairsCode1
Simple and Effective Multi-Paragraph Reading ComprehensionCode1
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic ClusteringCode1
A Deep Generative Framework for Paraphrase GenerationCode1
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused EvaluationCode1
Reading Wikipedia to Answer Open-Domain QuestionsCode1
Emergence of Grounded Compositional Language in Multi-Agent PopulationsCode1
Making Neural QA as Simple as Possible but not SimplerCode1
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningCode1
MS MARCO: A Human Generated MAchine Reading COmprehension DatasetCode1
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data ProcessingCode1
Words or Characters? Fine-grained Gating for Reading ComprehensionCode1
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
SQuAD: 100,000+ Questions for Machine Comprehension of TextCode1
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsCode1
Compositional Semantic Parsing on Semi-Structured TablesCode1
Towards AI-Complete Question Answering: A Set of Prerequisite Toy TasksCode1
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning0
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It0
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility0
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation0
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation0
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning0
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling0
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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