RISK MINIMIZATION: Related Papers in ACL Anthology

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

• (ACL ID: C04-1201) a language independent method for question classification
• (ACL ID: H05-1087) maximum expected f-measure training of logistic regression models
• (ACL ID: H05-1119) searching the audio notebook
• (ACL ID: J05-4005) chinese word segmentation and named entity recognition
• (ACL ID: P04-1043) a study on convolution kernels for shallow statistic parsing
• (ACL ID: P05-1053) exploring various knowledge in relation extraction
• (ACL ID: P05-1065) reading level assessment using support vector machines and statistical language models
• (ACL ID: P06-1054) a fast, accurate deterministic parser for chinese
• (ACL ID: P06-2101) minimum risk annealing for training log-linear models
• (ACL ID: W00-1214) machine learning methods for chinese web page categorization
• (ACL ID: W03-0402) an svm-based voting algorithm with application to parse reranking
• (ACL ID: W03-0425) named entity recognition through classifier combination
• (ACL ID: W03-0434) a robust risk minimization based named entity recognition system
• (ACL ID: W03-1026) howtogetachinesename(entity)
• (ACL ID: W04-2506) a novel approach to focus identification in question/answering systems
• (ACL ID: W05-0407) engineering of syntactic features for shallow semantic parsing
• (ACL ID: W05-0601) effective use of wordnet semantics via kernel-based learning
• (ACL ID: W05-1002) verb subcategorization kernels for automatic semantic labeling
• (ACL ID: W06-0110) hybrid models for chinese named entity recognition
• (ACL ID: W06-1660) empirical study on the performance stability of named entity recognition model across domains
• (ACL ID: W06-2911) applying alternating structure optimization to word sense disambiguation
• (ACL ID: W06-2914) word distributions for thematic segmentation in a support vector machine approach