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 6101–6125 of 10817 papers

TitleStatusHype
Ask Me Anything in Your Native Language—0
Parameter-Efficient Abstractive Question Answering over Tables and over Text—0
TABi: Type-Aware Bi-encoders for End-to-End Entity Retrieval—0
Synthetic Question Value Estimation for Domain Adaptation of Question Answering—0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering—0
ARCNN: A Semantic Enhanced Relation Detection Model for Knowledge Base Question Answering—0
Toward Fine-grained Causality Reasoning and CausalQA—0
Can Explanations Be Useful for Calibrating Black Box Models?—0
Unsupervised multiple-choice question generation for out-of-domain Q\&A fine-tuning—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
Breaking Down Questions for Outside-Knowledge Visual Question Answering—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
Question Answering Infused Pre-training of General-Purpose Contextualized Representations—0
Do We Need to Differentiate Negative Candidates Before Training a Neural Ranker?—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
ANNA: Enhanced Language Representation for Question Answering—0
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
Language Model-Guided Knowledge Subgraphs for Question Answering—0
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering—0
KALA: Knowledge-Augmented Language Model Adaptation—0
Question-Led Semantic Structure Enhanced Attentions for VQA—0
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
Simulating Bandit Learning from User Feedback for Extractive 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