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 6951–7000 of 10817 papers

TitleStatusHype
End-to-end argumentation knowledge graph construction—0
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question AnsweringCode0
What's in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
Semantic Categorization of Social Knowledge for Commonsense Question AnsweringCode0
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation—0
Counterfactual Adversarial Learning with Representation InterpolationCode0
Refocusing on Relevance: Personalization in NLG—0
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of ExplanationCode0
TxT: Crossmodal End-to-End Learning with Transformers—0
Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension—0
MATE: Multi-view Attention for Table Transformer Efficiency—0
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering—0
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections—0
Cross-Policy Compliance Detection via Question Answering—0
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge TransferCode0
Exploiting Reasoning Chains for Multi-hop Science Question AnsweringCode0
Knowledge Graph Question Answering via SPARQL Silhouette Generation—0
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text—0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Weakly Supervised Relative Spatial Reasoning for Visual Question AnsweringCode0
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification—0
Challenges in Generalization in Open Domain Question AnsweringCode0
Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension—0
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs—0
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
Towards Task-Agnostic Privacy- and Utility-Preserving Models—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
When Retriever-Reader Meets Scenario-Based Multiple-Choice QuestionsCode0
Unsupervised Open-Domain Question Answering—0
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
QACE: Asking Questions to Evaluate an Image CaptionCode0
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering—0
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 QuestionsCode0
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension ModelsCode0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
UzBERT: pretraining a BERT model for Uzbek—0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling—0
The Multi-Modal Video Reasoning and Analyzing Competition—0
MeDiaQA: A Question Answering Dataset on Medical Dialogues—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
QAConv: Question Answering on Informative Conversations—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—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