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 7101–7150 of 10817 papers

TitleStatusHype
Contextual Embeddings for Arabic-English Code-Switched DataCode0
Dialogue over Context and Structured Knowledge using a Neural Network Model with External Memories—0
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
Annobot: Platform for Annotating and Creating Datasets through Conversation with a ChatbotCode0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Towards building a Robust Industry-scale Question Answering System—0
An empirical analysis of existing systems and datasets toward general simple question answeringCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
A Multilingual Reading Comprehension System for more than 100 Languages—0
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks—0
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering—0
Exploring the zero-shot limit of FewRelCode0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—0
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph—0
Answering Legal Questions by Learning Neural Attentive Text Representation—0
Schema Aware Semantic Reasoning for Interpreting Natural Language Queries in Enterprise Settings—0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Towards Knowledge-Augmented Visual Question AnsweringCode0
SQL Generation via Machine Reading ComprehensionCode0
Graph-Based Knowledge Integration for Question Answering over Dialogue—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
Answering Product-related Questions with Heterogeneous Information—0
Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation—0
Leveraging Structured Metadata for Improving Question Answering on the Web—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Knowledge-Enhanced Named Entity Disambiguation for Short Text—0
A Unified Framework for Multilingual and Code-Mixed Visual Question Answering—0
Reading Comprehension as Natural Language Inference:A Semantic Analysis—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
Open-Ended Multi-Modal Relational Reasoning for Video Question AnsweringCode0
Evaluating Explanations: How much do explanations from the teacher aid students?Code0
ClimaText: A Dataset for Climate Change Topic Detection—0
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web ChallengeCode1
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Just Ask: Learning to Answer Questions from Millions of Narrated VideosCode1
H-Mem: Harnessing synaptic plasticity with Hebbian Memory NetworksCode1
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering—0
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point—0
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen—0
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base—0
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationCode0
Point and Ask: Incorporating Pointing into Visual Question AnsweringCode1
A question-answering system for aircraft pilots' documentation—0
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip PredictionCode1
Learning from Lexical Perturbations for Consistent Visual Question AnsweringCode0
A Panoramic Survey of Natural Language Processing in the Arab World—0
XTQA: Span-Level Explanations of the Textbook Question AnsweringCode1
mForms : Multimodal Form-Filling with Question Answering—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