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 7051–7100 of 10817 papers

TitleStatusHype
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics—0
Explaining NLP Models via Minimal Contrastive Editing (MiCE)Code1
LOREN: Logic-Regularized Reasoning for Interpretable Fact VerificationCode1
QUACKIE: A NLP Classification Task With Ground Truth Explanations—0
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement—0
Negation in Cognitive ReasoningCode0
Learning Dense Representations of Phrases at ScaleCode2
Exploring and Analyzing Machine Commonsense Benchmarks—0
Object-Centric Diagnosis of Visual Reasoning—0
Learning content and context with language bias for Visual Question AnsweringCode0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
On Modality Bias in the TVQA DatasetCode0
Trying Bilinear Pooling in Video-QA—0
Overcoming Language Priors with Self-supervised Learning for Visual Question AnsweringCode1
Can Transformers Reason About Effects of Actions?—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation EmbeddingCode1
ParsiNLU: A Suite of Language Understanding Challenges for PersianCode1
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR—0
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps—0
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
TAP: Text-Aware Pre-training for Text-VQA and Text-CaptionCode1
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractionsCode1
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
Conversational BrowsingCode0
Grammar-aware sentence classification on quantum computers—0
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation—0
WeaQA: Weak Supervision via Captions for Visual Question Answering—0
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
How Can We Know When Language Models Know? On the Calibration of Language Models for Question AnsweringCode1
Using the Poly-encoder for a COVID-19 Question Answering SystemCode0
Transformer based Natural Language Generation for Question-Answering—0
Bridging Question Answering and Discourse The case of Multi-Sentence Questions—0
Domino at FinCausal 2020, Task 1 and 2: Causal Extraction SystemCode0
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature—0
Transformer Semantic Parsing—0
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
Multichannel LSTM-CNN for Telugu Text Classification—0
MUCS@TechDOfication using FineTuned Vectors and n-grams—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
Question and Answer pair generation for Telugu short stories—0
Creation of Corpus and Analysis in Code-Mixed Kannada-English Social Media Data for POS Tagging—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