KGR, a constrained LLM for generating keyphrases from crisis SMS, expands a static taxonomy and raises topic-retrieval accuracy from 0.25 to 0.70 while surfacing new themes like immigration problems.
R.et al.Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts.JAMIA Open4, ooab011 (2021)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies
KGR, a constrained LLM for generating keyphrases from crisis SMS, expands a static taxonomy and raises topic-retrieval accuracy from 0.25 to 0.70 while surfacing new themes like immigration problems.