ALPET, an active-learning plus PET pipeline, detects citation-worthy sentences in Catalan, Basque and Albanian while needing roughly 58-72% fewer labeled examples than its CCW baseline.
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Structured representations of entity names are useful for many entity-related tasks such as entity normalization and variant generation. Learning the implicit structured representations of entity names without context and external knowledge is particularly challenging. In this paper, we present a novel learning framework that combines active learning and weak supervision to solve this problem. Our experimental evaluation show that this framework enables the learning of high-quality models from merely a dozen or so labeled examples.
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages
ALPET, an active-learning plus PET pipeline, detects citation-worthy sentences in Catalan, Basque and Albanian while needing roughly 58-72% fewer labeled examples than its CCW baseline.