Papers by Yiling Chung

1 papers
Building Named Entity Recognition Taggers via Parallel Corpora (L18-1)

Copied to clipboard

Challenge: Existing methods to generate semantic processors for languages lacking hand curated data are inefficiently slow and unaffordable in terms of human resources and economic costs.
Approach: They propose to use statistical word alignments to project annotations from multiple sources to a target language.
Outcome: The proposed method is effective to transport NER annotations across languages . it can generate a good statistical model for a new target language .

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