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 6801–6825 of 10817 papers

TitleStatusHype
Sequence tagging for biomedical extractive question answeringCode1
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering—0
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of EventsCode1
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches—0
Designing a Minimal Retrieve-and-Read System for Open-Domain Question AnsweringCode1
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation GraphCode1
How to Train BERT with an Academic BudgetCode1
Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy—0
TWEAC: Transformer with Extendable QA Agent ClassifiersCode1
Event Detection as Question Answering with Entity InformationCode0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models—0
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question AnsweringCode1
Multi-Step Reasoning Over Unstructured Text with Beam Dense RetrievalCode1
Structural analysis of an all-purpose question answering model—0
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata—0
MultiModalQA: Complex Question Answering over Text, Tables and Images—0
A Replication Study of Dense Passage RetrieverCode2
SpartQA: : A Textual Question Answering Benchmark for Spatial ReasoningCode1
Object-Centric Representation Learning for Video Question Answering—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
Innovative Bert-based Reranking Language Models for Speech Recognition—0
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsCode1
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation—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