FEATURE SELECTION METHOD can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: C00-1066) automatic text categorization by unsupervised learning
• (ACL ID: C02-1054) efficient support vector classifiers for named entity recognition
• (ACL ID: C02-1112) syntactic features for high precision word sense disambiguation
• (ACL ID: H94-1048) a maximum entropy model for prepositional phrase attachment
• (ACL ID: J05-1003) discriminative reranking for natural language parsing
• (ACL ID: N03-1023) weakly supervised natural language learning without redundant views
• (ACL ID: N04-4002) mmr-based feature selection for text categorization
• (ACL ID: N06-2007) semi-supervised relation extraction with label propagation
• (ACL ID: P04-1016) convolution kernels with feature selection for natural language processing tasks
• (ACL ID: W02-1006) an empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation
• (ACL ID: W03-0410) semi-supervised verb class discovery using noisy features
• (ACL ID: W03-1010) a plethora of methods for learning english countability
• (ACL ID: W03-1117) keyword-based document clustering
• (ACL ID: W04-0505) biographer
• (ACL ID: W05-0408) automatic identification of sentiment vocabulary
• (ACL ID: W05-1008) bootstrapping deep lexical resources
• (ACL ID: W06-1646) corrective models for speech recognition of inflected languages
• (ACL ID: W06-3406) improving "email speech acts" analysis via n-gram selection
• (ACL ID: X98-1031) the text retrieval conferences (trecs)