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 5601–5650 of 10817 papers

TitleStatusHype
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression ExtractionCode0
Episodic Memory Question Answering—0
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related QueriesCode1
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
Ethics Sheets for AI Tasks—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Systematic Inequalities in Language Technology Performance across the World’s LanguagesCode0
ViLMedic: a framework for research at the intersection of vision and language in medical AI—0
MMCoQA: Conversational Question Answering over Text, Tables, and ImagesCode0
Vision-Language Pretraining: Current Trends and the Future—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for ChineseCode1
Predicting Difficulty and Discrimination of Natural Language Questions—0
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory—0
MTL-SLT: Multi-Task Learning for Spoken Language Tasks—0
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension—0
Towards Generalizable Methods for Automating Risk Score Calculation—0
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation—0
Explainable Assessment of Healthcare Articles with QA—0
Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA—0
Answer-level Calibration for Free-form Multiple Choice Question AnsweringCode0
Retrieval Data Augmentation Informed by Downstream Question Answering Performance—0
ANNA”:" Enhanced Language Representation for Question Answering—0
semiPQA: A Study on Product Question Answering over Semi-structured Data—0
Distilling Salient Reviews with Zero Labels—0
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning—0
What Makes Good In-Context Examples for GPT-3?—0
BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question AnsweringCode0
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data—0
KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
Data Quality Estimation Framework for Faster Tax Code Classification—0
It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books—0
Investigating the Generative Approach for Question Answering in E-Commerce—0
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering—0
Implicit Relation Linking for Question Answering over Knowledge Graph—0
Identifying relevant common sense information in knowledge graphsCode0
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System—0
DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering—0
ELQA: A Corpus of Metalinguistic Questions and Answers about EnglishCode0
Clues Before Answers: Generation-Enhanced Multiple-Choice QACode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Answer Consolidation: Formulation and BenchmarkingCode0
Flamingo: a Visual Language Model for Few-Shot LearningCode4
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
Polyglot Prompt: Multilingual Multitask PrompTrainingCode1
Inferring Implicit Relations in Complex Questions with Language ModelsCode0
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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