Papers by Yi-shyuan Chiang

2 papers
FISH: A Financial Interactive System for Signal Highlighting (2023.eacl-demo)

Copied to clipboard

Challenge: Existing systems or studies lack interactivity and do not provide off-the-shelf signals.
Approach: They propose an interactive system that extracts and highlights crucial financial signals . they integrate pre-trained BERT representations and a fine-tuned BERT highlighting model .
Outcome: The proposed system extracts and highlights key financial signals efficiently and precisely.
COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System (2022.acl-demo)

Copied to clipboard

Challenge: a new system extracts supporting and refuting claims from COVID-19 related news . the system is publicly available at GitHub and DockerHub, with complete documentation.
Approach: They propose a COVID-19 Claim Radar system that extracts supporting and refuting claims . the system leverages Wikidata as the hub to consolidate coreferential knowledge elements .
Outcome: The system extracts supporting and refuting claims from COVID-19 pandemic information . it leverages Wikidata as the hub to merge coreferential knowledge elements .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations