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 5501–5525 of 10817 papers

TitleStatusHype
Lexical Disambiguation in Natural Language Questions (NLQs)—0
LEAF-QA: Locate, Encode & Attend for Figure Question Answering—0
LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning—0
L’importance des entités pour la tâche de détection d’événements en tant que système de question-réponse (Exploring Entities in Event Detection as Question Answering)—0
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs—0
Leveraging Static Relationships for Intra-Type and Inter-Type Message Passing in Video Question Answering—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations—0
Different Contexts Lead to Different Word Embeddings—0
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary—0
Atomic Fact Decomposition Helps Attributed Question Answering—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—0
Learning Adaptable Patterns for Passage Reranking—0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection—0
Leveraging Structured Metadata for Improving Question Answering on the Web—0
Learning and Evaluating General Linguistic Intelligence—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Learning Answer Embeddings for Visual Question Answering—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition—0
Learning Biological Processes with Global Constraints—0
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and 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