ACTIVE LEARNING: Related Papers in ACL Anthology
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Concordance view (Keyword-In-Context) for the term active learning in the ACL ARC 2.0;
- Concordance view in the ACL ARC 1.0 (Sketch Engine Service).
ACTIVE LEARNING can be found in the following ACL ARC 1.0 documents (click to explore):
- (ACL ID: E06-1042) a clustering approach for nearly unsupervised recognition of nonliteral language
- (ACL ID: E06-3004) bootstrapping named entity recognition with automatically generated gazetteer lists
- (ACL ID: E06-3009) example-based metonymy recognition for proper nouns
- (ACL ID: H01-1026) facilitating treebank annotation using a statistical parser
- (ACL ID: H05-1026) training neural network language models on very large corpora
- (ACL ID: H05-1050) bootstrapping without the boot
- (ACL ID: H05-1121) query expansion with the minimum user feedback by transductive learning
- (ACL ID: H05-2019) posbiotm/w
- (ACL ID: J04-3001) sample selection for statistical parsing
- (ACL ID: N01-1023) applying co-training methods to statistical parsing
- (ACL ID: N03-1027) supervised and unsupervised pcfg adaptation to novel domains
- (ACL ID: N03-1031) example selection for bootstrapping statistical parsers
- (ACL ID: N03-2007) active learning for classifying phone sequences from unsupervised phonotactic models
- (ACL ID: N03-4009) wordfreak
- (ACL ID: N04-1012) ensemble-based active learning for parse selection
- (ACL ID: N06-1010) exploiting domain structure for named entity recognition
- (ACL ID: N06-1030) learning pronunciation dictionaries
- (ACL ID: N06-2018) mmr-based active machine learning for bio named entity recognition
- (ACL ID: N06-3003) can the internet help improve machine translation?
- (ACL ID: P01-1005) scaling to very very large corpora for natural language disambiguation
- (ACL ID: P01-1055) using machine learning to maintain rule-based named-entity recognition and classification systems
- (ACL ID: P02-1002) sequential conditional generalized iterative scaling
- (ACL ID: P02-1016) active learning for statistical natural language parsing
- (ACL ID: P02-1064) an empirical study of active learning with support vector machines forjapanese word segmentation
- (ACL ID: P03-1042) uncertainty reduction in collaborative bootstrapping
- (ACL ID: P03-1061) morphological analysis of a large spontaneous speech corpus in japanese
- (ACL ID: P04-1004) analysis of mixed natural and symbolic input in mathematical dialogs
- (ACL ID: P04-1023) statistical machine translation with word- and sentence-aligned parallel corpora
- (ACL ID: P04-1075) multi-criteria-based active learning for named entity recognition
- (ACL ID: P04-3028) co-training for predicting emotions with spoken dialogue data
- (ACL ID: P05-1017) extracting semantic orientations of words using spin model
- (ACL ID: P05-3018) word alignment and cross-lingual resource acquisition
- (ACL ID: P06-1091) a discriminative global training algorithm for statistical mt
- (ACL ID: P06-1142) learning transliteration lexicons from the web
- (ACL ID: P98-1016) redundancy
- (ACL ID: W00-0505) towards translingual information access using portable information extraction
- (ACL ID: W00-1304) coaxing confidences from an old freind
- (ACL ID: W02-0817) building a sense tagged corpus with open mind word expert
- (ACL ID: W02-1302) towards a road map on human language technology
- (ACL ID: W03-0310) bootstrapping parallel corpora
- (ACL ID: W03-0403) active learning for hpsg parse selection
- (ACL ID: W03-0408) updating an nlp system to fit new domains
- (ACL ID: W03-0608) why can't josã© read? the problem of learning semantic associations in a robot environment
- (ACL ID: W03-0803) ollie
- (ACL ID: W03-0806) blueprint for a high performance nlp infrastructure
- (ACL ID: W03-1015) bootstrapping coreference classifiers with multiple machine learning algorithms
- (ACL ID: W03-1027) virtual examples for text classification with support vector machines
- (ACL ID: W04-0911) lexical-semantic interpretation of language input in mathematical dialogs
- (ACL ID: W04-1007) a rhetorical status classifier for legal text summarisation
- (ACL ID: W04-3202) active learning and the total cost of annotation
- (ACL ID: W04-3204) unsupervised wsd based on automatically retrieved examples
- (ACL ID: W04-3234) trained named entity recognition using distributional clusters
- (ACL ID: W05-0110) teaching language technology at the north-west university
- (ACL ID: W05-0619) investigating the effects of selective sampling on the annotation task
- (ACL ID: W05-1209) generating an entailment corpus from news headlines
- (ACL ID: W06-1624) a weakly supervised learning approach for spoken language understanding
- (ACL ID: W06-1660) empirical study on the performance stability of named entity recognition model across domains
- (ACL ID: W06-2209) active annotation
- (ACL ID: W06-3325) the difficulties of taxonomic name extraction and a solution
- (ACL ID: W06-3328) bootstrapping and evaluating named entity recognition in the biomedical domain
- (ACL ID: W98-1107) semantic lexicon acquisition for learning natural language interfaces
- (ACL ID: W99-0612) language independent named entity recognition combining morphological and contextual evidence
- (ACL ID: W99-0627) taking the load off the conference chairs-towards a digital paper-routing assistant
- (ACL ID: W99-0808) an open distance learning web-course for nlp in ir
* See also a list of some of the related terms to active learning.
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