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 6626–6650 of 10817 papers

TitleStatusHype
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
What is Event Knowledge Graph: A Survey—0
Does QA-based intermediate training help fine-tuning language models for text classification?—0
The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets—0
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference ModelingCode0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Multi-Image Visual Question AnsweringCode0
A Survey on non-English Question Answering Dataset—0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
Graph Collaborative Reasoning—0
ArT: All-round Thinker for Unsupervised Commonsense Question-AnsweringCode0
New Methods & Metrics for LFQA tasks—0
PerCQA: Persian Community Question Answering Dataset—0
Agent Smith: Teaching Question Answering to Jill Watson—0
An Inference Approach To Question Answering Over Knowledge Graphs—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
General Greedy De-bias LearningCode0
Task-Oriented Multi-User Semantic Communications—0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey—0
TASA: Twin Answer Sentences Attack for Adversarial Context Generation in Question Answering—0
Understanding Attention for Vision-and-Language Tasks—0
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering—0
Explanation as Question Answering based on Design Knowledge—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