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 6976–7000 of 10817 papers

TitleStatusHype
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
Towards Task-Agnostic Privacy- and Utility-Preserving Models—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
When Retriever-Reader Meets Scenario-Based Multiple-Choice QuestionsCode0
Unsupervised Open-Domain Question Answering—0
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
QACE: Asking Questions to Evaluate an Image CaptionCode0
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering—0
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 QuestionsCode0
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension ModelsCode0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
UzBERT: pretraining a BERT model for Uzbek—0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling—0
The Multi-Modal Video Reasoning and Analyzing Competition—0
MeDiaQA: A Question Answering Dataset on Medical Dialogues—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
QAConv: Question Answering on Informative Conversations—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—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