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 7151–7200 of 10817 papers

TitleStatusHype
Domain-Transferable Method for Named Entity Recognition Task—0
Siamese Tracking with Lingual Object ConstraintsCode0
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question AnsweringCode1
Self-Supervised learning with cross-modal transformers for emotion recognition—0
What do we expect from Multiple-choice QA Systems?—0
Logically Consistent Loss for Visual Question Answering—0
Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example—0
Do Fine-tuned Commonsense Language Models Really Generalize?—0
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs—0
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
Generating Natural Questions from Images for Multimodal Assistants—0
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing TasksCode1
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge BasesCode1
Learning Associative Inference Using Fast Weight MemoryCode1
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering—0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
Utilizing Bidirectional Encoder Representations from Transformers for Answer SelectionCode1
ActBERT: Learning Global-Local Video-Text RepresentationsCode0
Meaningful Answer Generation of E-Commerce Question-Answering—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
Biomedical Named Entity Recognition at ScaleCode0
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing—0
Medical Knowledge-enriched Textual Entailment Framework—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering—0
Generating Fact Checking Briefs—0
CapWAP: Captioning with a Purpose—0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
VisBERT: Hidden-State Visualizations for TransformersCode1
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question AnsweringCode1
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development—0
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering—0
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question AnsweringCode1
Language Model is All You Need: Natural Language Understanding as Question Answering—0
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources—0
Context-Aware Answer Extraction in Question AnsweringCode1
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
Muti-view Mouse Social Behaviour Recognition with Deep Graphical ModelCode0
An Improved Attention for Visual Question AnsweringCode0
Indic-Transformers: An Analysis of Transformer Language Models for Indian LanguagesCode0
Analyzing Sustainability Reports Using Natural Language ProcessingCode0
CharBERT: Character-aware Pre-trained Language ModelCode1
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular TasksCode0
Reasoning Over History: Context Aware Visual Dialog—0
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question AnsweringCode0
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning StepsCode1
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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