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 5551–5600 of 10817 papers

TitleStatusHype
NS3: Neuro-Symbolic Semantic Code SearchCode0
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models—0
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection—0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Transition-based Semantic Role Labeling with Pointer NetworksCode0
Sentences as connection paths: A neural language architecture of sentence structure in the brain—0
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Automated Crossword SolvingCode1
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Evaluation of Transfer Learning for Polish with a Text-to-Text Model—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Gender and Racial Bias in Visual Question Answering Datasets—0
A Neuro-Symbolic ASP Pipeline for Visual Question AnsweringCode0
Trustworthy Graph Neural Networks: Aspects, Methods and Trends—0
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data—0
Harnessing Multilingual Resources to Question Answering in Arabic—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering—0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering—0
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Towards Answering Open-ended Ethical Quandary Questions—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
UL2: Unifying Language Learning ParadigmsCode1
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures—0
Learning to Answer Visual Questions from Web VideosCode1
Multilevel Hierarchical Network with Multiscale Sampling for Video Question AnsweringCode0
Joint learning of object graph and relation graph for visual question answering—0
ProQA: Structural Prompt-based Pre-training for Unified Question AnsweringCode1
Chart Question Answering: State of the Art and Future Directions—0
Better Retrieval May Not Lead to Better Question Answering—0
Improving Downstream Task Performance by Treating Numbers as Entities—0
The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningCode1
Translating Place-Related Questions to GeoSPARQL QueriesCode0
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data—0
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering—0
QLEVR: A Diagnostic Dataset for Quantificational Language and Elementary Visual ReasoningCode0
METGEN: A Module-Based Entailment Tree Generation Framework for Answer ExplanationCode1
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task LearningCode0
Declaration-based Prompt Tuning for Visual Question AnsweringCode1
KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language—0
Analysing the Robustness of Dual Encoders for Dense Retrieval Against MisspellingsCode0
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Compositional Task-Oriented Parsing as Abstractive Question AnsweringCode0
All You May Need for VQA are Image CaptionsCode3
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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