POSID combines regex, Word2Vec, WordNet, and SBERT zero-shot classification with POS-tag heuristics to extract person attributes from incident reports, reaching 0.90 F1 for clothes attribute-value pairs on the new InciText dataset.
Fellbaum, WordNet: An Electronic Lexical Database
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text
POSID combines regex, Word2Vec, WordNet, and SBERT zero-shot classification with POS-tag heuristics to extract person attributes from incident reports, reaching 0.90 F1 for clothes attribute-value pairs on the new InciText dataset.