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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5801–5825 of 10817 papers

TitleStatusHype
Linguistic Embeddings as a Common-Sense Knowledge Repository: Challenges and Opportunities—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Identifying the Provision of Choices in Privacy Policy Text—0
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs—0
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
Linking, Searching, and Visualizing Entities in Wikipedia—0
Conversational Question Answering on Heterogeneous Sources—0
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Listening Comprehension over Argumentative Content—0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
LIST-LUX: Disorder Identification from Clinical Texts—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime—0
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?—0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
Litigation Analytics: Extracting and querying motions and orders from US federal courts—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Identifying Purpose Behind Electoral Tweets—0
Show:102550
← PrevPage 233 of 433Next →
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