BOOTSTRAPPING PROCESS: Related Papers in ACL Anthology

BOOTSTRAPPING PROCESS can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: A88-1007) improved portability and parsing through interactive acquisition of semantic information
• (ACL ID: A92-1032) robust parsing of natural language descriptions expressed in telegraphic style
• (ACL ID: A97-1051) mixed-initiative development of language processing systems
• (ACL ID: C04-1133) automated induction of sense in context
• (ACL ID: C88-2153) machine tractable dictionaries as tools and resources for natural language processing
• (ACL ID: C96-2157) a self-learning universal concept spotter
• (ACL ID: E06-3004) bootstrapping named entity recognition with automatically generated gazetteer lists
• (ACL ID: E99-1045) encoding a parallel corpus for automatic terminology extraction
• (ACL ID: H05-1067) making computers laugh
• (ACL ID: H94-1053) statistical language processing using hidden understanding models
• (ACL ID: I05-2011) automatic detection of opinion bearing words and sentences
• (ACL ID: J04-1001) translation disambiguation using bilingual bootstrapping
• (ACL ID: J96-2003) improving statistical language model performance with automatically generated word hierarchies
• (ACL ID: J96-4002) an algorithm to align words for historical comparison
• (ACL ID: J98-1002) similarity-based word sense disambiguation
• (ACL ID: N04-2003) maximum entropy modeling in sparse semantic tagging
• (ACL ID: P02-1006) learning surface text patterns for a question answering system
• (ACL ID: P03-1044) counter-training in discovery of semantic patterns
• (ACL ID: P04-1033) learning with unlabeled data for text categorization using a bootstrapping and a feature projection technique
• (ACL ID: P05-1049) word sense disambiguation using label propagation based semi-supervised learning
• (ACL ID: P94-1004) hidden understanding models of natural language
• (ACL ID: W02-1017) exploiting strong syntactic heuristics and co-training to learn semantic lexicons
• (ACL ID: W02-1028) a bootstrapping method for learning semantic lexicons using extraction pattern contexts
• (ACL ID: W02-1814) extracting pronunciation-translated names from chinese texts using bootstrapping approach
• (ACL ID: W02-2007) language independent ner using a unified model of internal and contextual evidence
• (ACL ID: W03-0404) learning subjective nouns using extraction pattern bootstrapping
• (ACL ID: W03-0405) unsupervised personal name disambiguation
• (ACL ID: W03-0407) bootstrapping pos-taggers using unlabelled data
• (ACL ID: W03-1014) learning extraction patterns for subjective expressions
• (ACL ID: W03-1504) low-cost named entity classification for catalan
• (ACL ID: W04-1119) a semi-supervised approach to build annotated corpus for chinese named entity recognition
• (ACL ID: W04-1218) adapting an ner-system for german to the biomedical domain
• (ACL ID: W04-1908) the holj corpus. supporting summarisation of legal texts
• (ACL ID: W04-2210) a generic collaborative platform for multilingual lexical database development
• (ACL ID: W04-2405) co-training and self-training for word sense disambiguation
• (ACL ID: W04-3003) interactive machine learning techniques for improving slu models
• (ACL ID: W05-0608) domain kernels for text categorization
• (ACL ID: W96-0104) learning similarity-based word sense disambiguation from sparse data
• (ACL ID: W98-1106) an empirical approach to conceptual case frame acquisition
• (ACL ID: W99-0612) language independent named entity recognition combining morphological and contextual evidence
• (ACL ID: W99-0903) dual distributional verb sense disambiguation with small corpora and machine readable dictionaries
• (ACL ID: W99-0908) text classification by bootstrapping with keywords, em and shrinkage