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 7201–7250 of 10817 papers

TitleStatusHype
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
Rethinking Search: Making Domain Experts out of Dilettantes—0
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine LossCode0
Semantic Modeling for Food Recommendation Explanations—0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks—0
Iterated learning for emergent systematicity in VQA—0
A survey on VQA_Datasets and Approaches—0
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations—0
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads—0
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering—0
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction—0
Document Structure aware Relational Graph Convolutional Networks for Ontology Population—0
Document Collection Visual Question Answering—0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
InfographicVQA—0
Towards Knowledge Graphs Validation through Weighted Knowledge Sources—0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration—0
Playing Lottery Tickets with Vision and Language—0
BERT-CoQAC: BERT-based Conversational Question Answering in Context—0
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables—0
Towards Solving Multimodal Comprehension—0
Efficient Retrieval Optimized Multi-task Learning—0
Natural Language Generation Using Link Grammar for General Conversational IntelligenceCode0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing TasksCode0
Case-based Reasoning for Natural Language Queries over Knowledge Bases—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
Contextualized Query Embeddings for Conversational Search—0
Generative Context Pair Selection for Multi-hop Question Answering—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Multi-Perspective Abstractive Answer Summarization—0
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
Multivalent Entailment Graphs for Question Answering—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks—0
Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy—0
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering—0
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches—0
Event Detection as Question Answering with Entity InformationCode0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
Structural analysis of an all-purpose question answering model—0
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata—0
MultiModalQA: Complex Question Answering over Text, Tables and Images—0
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models—0
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
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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