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 7001–7050 of 10817 papers

TitleStatusHype
VALSE: A Task-Independent Benchmark for Vision and Language Models centered on Linguistic Phenomena—0
Generative Relation Linking for Question Answering over Knowledge Bases—0
Semantic Answer Similarity for Evaluating Question Answering Models—0
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble—0
Extracting Semantics from Maintenance Records—0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisCode0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection—0
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering—0
A Robustly Optimized BERT Pre-training Approach with Post-training—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights—0
Challenges for Information Extraction from Dialogue in Criminal Law—0
Explanations for CommonsenseQA: New Dataset and Models—0
Towards Visual Question Answering on Pathology ImagesCode0
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering—0
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining—0
Multi-Scale Progressive Attention Network for Video Question Answering—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
Recognizing Multimodal Entailment—0
Towards a more Robust Evaluation for Conversational Question Answering—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question AnsweringCode0
BiQuAD: Towards QA based on deeper text understanding—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation—0
Learning to Generate Questions by Learning to Recover Answer-containing Sentences—0
Learning Faithful Representations of Causal Graphs—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
DESCGEN: A Distantly Supervised Datasetfor Generating Entity DescriptionsCode0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
Attribute Value Generation from Product Title using Language Models—0
COSY: COunterfactual SYntax for Cross-Lingual UnderstandingCode0
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes—0
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction—0
Comprehension Based Question Answering using Bloom’s Taxonomy—0
Combining Open Domain Question Answering with a Task-Oriented Dialog System—0
Automatic Claim Review for Climate Science via Explanation Generation—0
An Online Question Answering System based on Sub-graph Searching—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