joint modeling | BestHub

DataFunTalk

May 28, 2023 · Artificial Intelligence

Applying External Data in Consumer Credit Risk Management: Framework, Evaluation, and Joint Modeling

This article presents a comprehensive overview of using external data in consumer credit risk management, covering the risk operating framework, data types, challenges of data integration, evaluation methods, joint modeling techniques, and practical solutions to improve model performance and business outcomes.

credit riskdata evaluationexternal data

0 likes · 18 min read

Applying External Data in Consumer Credit Risk Management: Framework, Evaluation, and Joint Modeling

DataFunSummit

May 12, 2023 · Artificial Intelligence

Applying External Data in Consumer Credit Risk Management: Framework, Evaluation, and Joint Modeling

This article explains how external data can be integrated into consumer credit risk management, covering the credit risk operating framework, data types needed for acquisition, pre‑loan and post‑loan stages, evaluation methods, challenges of joint modeling, transfer‑learning solutions, and clustering strategies to improve model performance.

consumer lendingcredit riskdata evaluation

0 likes · 17 min read

DataFunTalk

Mar 22, 2020 · Artificial Intelligence

Entity and Relation Extraction: QA-Style Overview of Methods, Challenges, and Recent Advances

This article provides a comprehensive QA‑style review of entity‑relation extraction (ERE), covering pipeline drawbacks, various decoding strategies for NER, common relation‑classification techniques, shared‑parameter and joint‑decoding models, recent transformer‑based approaches, challenges such as overlapping entities, low‑resource settings, and the use of graph neural networks.

Deep LearningNLPRelation Extraction

0 likes · 32 min read

Entity and Relation Extraction: QA-Style Overview of Methods, Challenges, and Recent Advances