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 6801–6850 of 10817 papers

TitleStatusHype
Zero-Shot Clinical Questionnaire Filling From Human-Machine Interactions—0
The Global Banking Standards QA Dataset (GBS-QA)—0
A Free Format Legal Question Answering System—0
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy—0
Discourse Comprehension: A Question Answering Framework to Represent Sentence ConnectionsCode0
Learning from Limited Labels for Long Legal Dialogue—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple SubgoalsCode0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—0
Incorporating medical knowledge in BERT for clinical relation extraction—0
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading ComprehensionCode0
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language GenerationCode0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries—0
A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering—0
Winnowing Knowledge for Multi-choice Question Answering—0
Neural Natural Logic Inference for Interpretable Question AnsweringCode0
Have You Seen That Number? Investigating Extrapolation in Question Answering Models—0
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation—0
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation—0
Textual Time Travel: A Temporally Informed Approach to Theory of Mind—0
Using Question Answering Rewards to Improve Abstractive SummarizationCode0
Aspect-based Sentiment Analysis in Question Answering ForumsCode0
GANDALF: a General Character Name Description Dataset for Long Fiction—0
Text Classification for Task-based Source Code Related Questions—0
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
On the Feasibility of Predicting Questions being Forgotten in Stack Overflow—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
What makes us curious? analysis of a corpus of open-domain questions—0
Multi-stage Clarification in Conversational AI: The case of Question-Answering Dialogue Systems—0
Perceptual Score: What Data Modalities Does Your Model Perceive?Code0
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning—0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Transferring Domain-Agnostic Knowledge in Video Question Answering—0
Alignment Attention by Matching Key and Query DistributionsCode0
EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases—0
ListReader: Extracting List-form Answers for Opinion Questions—0
Single-Modal Entropy based Active Learning for Visual Question Answering—0
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships—0
Ensemble ALBERT on SQuAD 2.0Code0
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian EnvironmentCode0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
Towards Language-guided Visual Recognition via Dynamic ConvolutionsCode0
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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