SUPERVISED TRAINING: Related Papers in ACL Anthology

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

• (ACL ID: C00-1023) word sense disambiguation of adjectives using probabilistic networks
• (ACL ID: C02-1004) combining unsupervised and supervised methods for pp attachment disambiguation
• (ACL ID: C02-1075) a novel disambiguation method for unification-based grammars using probabilistic context-free approximations
• (ACL ID: C02-1143) simple features for chinese word sense disambiguation
• (ACL ID: C02-1148) investigating the relationship between word segmentation performance and retrieval performance in chinese ir
• (ACL ID: C04-1192) fine-grained word sense disambiguation based on parallel corpora, word alignment, word clustering and aligned wordnets
• (ACL ID: C94-2195) a rule-based approach to prepositional phrase attachment disambiguation
• (ACL ID: C94-2210) syllable-based phonetic transcription by maximum likelihood methods
• (ACL ID: H01-1026) facilitating treebank annotation using a statistical parser
• (ACL ID: H01-1052) mitigating the paucity-of-data problem
• (ACL ID: H01-1059) portability issues for speech recognition technologies
• (ACL ID: H05-1012) a maximum entropy word aligner for arabic-english machine translation
• (ACL ID: H05-1036) compiling comp ling
• (ACL ID: H05-1065) disambiguation of morphological structure using a pcfg
• (ACL ID: H05-1087) maximum expected f-measure training of logistic regression models
• (ACL ID: H90-1006) the use of relative duration in syntactic disambiguation
• (ACL ID: H90-1044) training and evaluation of a spoken language understanding system
• (ACL ID: H90-1067) experiments with tree-structured mmi encoders on the rm task
• (ACL ID: H90-1069) towards understanding text with a very large vocabulary
• (ACL ID: H91-1037) partial parsing
• (ACL ID: H91-1044) parsing the voyager domain using pearl
• (ACL ID: H91-1065) studies in part of speech labelling
• (ACL ID: H92-1080) applying sphinx-ii to the darpa wall street journal csr task
• (ACL ID: H93-1007) the semantic linker- a new fragment combining method
• (ACL ID: H93-1045) example-based correction of word segmentation and part of speech labelling
• (ACL ID: H94-1054) japanese word segmentation by hidden markov model
• (ACL ID: I05-2021) evaluating the word sense disambiguation performance of statistical machine translation
• (ACL ID: J00-4004) learning methods to combine linguistic indicators
• (ACL ID: J01-3003) automatic verb classification based on statistical distributions of argument structure
• (ACL ID: J03-3002) articles the web as a parallel corpus
• (ACL ID: J04-3001) sample selection for statistical parsing
• (ACL ID: J93-1002) generalized probabilistic lr parsing of natural language (corpora) with unification-based grammars
• (ACL ID: J93-2006) coping with ambiguity and unknown words through probabilistic models
• (ACL ID: J98-1003) topical clustering of mrd senses based on information retrieval techniques
• (ACL ID: M91-1006) bbn plum
• (ACL ID: M93-1028) report from the text analysis techniques topic session
• (ACL ID: N03-2012) detection of agreement vs. disagreement in meetings
• (ACL ID: N04-4009) competitive self-trained pronoun interpretation
• (ACL ID: N06-1042) learning morphological disambiguation rules for turkish
• (ACL ID: P02-1001) parameter estimation for probabilistic finite-state transducers
• (ACL ID: P04-1062) annealing techniques for unsupervised statistical language learning
• (ACL ID: P04-3032) dyna
• (ACL ID: P05-1034) dependency treelet translation
• (ACL ID: P05-1046) unsupervised learning of field segmentation models for information extraction
• (ACL ID: P05-1048) word sense disambiguation vs. statistical machine translation
• (ACL ID: P05-3018) word alignment and cross-lingual resource acquisition
• (ACL ID: P06-1007) a finite-state model of human sentence processing
• (ACL ID: P06-1009) discriminative word alignment with conditional random fields
• (ACL ID: P06-1021) pcfgs with syntactic and prosodic indicators of speech repairs
• (ACL ID: P06-1027) semi-supervised conditional random fields for improved sequence segmentation and labeling
• (ACL ID: P06-1084) an unsupervised morpheme-based hmm for hebrew morphological disambiguation
• (ACL ID: P06-1103) weakly supervised named entity transliteration and discovery from multilingual comparable corpora
• (ACL ID: P06-2004) the effect of corpus size in combining supervised and unsupervised training for disambiguation
• (ACL ID: P06-2029) the benefit of stochastic pp attachment to a rule-based parser
• (ACL ID: P06-2065) unsupervised analysis for decipherment problems
• (ACL ID: P06-2101) minimum risk annealing for training log-linear models
• (ACL ID: P06-3005) modeling human sentence processing data with a statistical parts-of-speech tagger
• (ACL ID: P95-1026) unsupervised word sense disambiguation rivaling supervised methods
• (ACL ID: P95-1032) a pattern matching method for finding noun and proper noun translations from noisy parallel corpora
• (ACL ID: P96-1023) head automata and bilingual tiling
• (ACL ID: P96-1042) minimizing manual annotation cost in supervised training from corpora
• (ACL ID: P96-1044) linguistic structure as composition and perturbation
• (ACL ID: P97-1022) fertility models for statistical natural language understanding
• (ACL ID: P97-1046) a comparison of head transducers and transfer for a limited domain translation application
• (ACL ID: P98-1063) combining stochastic and rule-based methods for disambiguation in agglutinative languages
• (ACL ID: P98-2186) part of speech tagging using a network of linear separators
• (ACL ID: P99-1010) supervised grammar induction using training data with limited constituent information
• (ACL ID: P99-1015) corpus-based linguistic indicators for aspectual classification
• (ACL ID: W00-1306) sample selection for statistical grammar induction
• (ACL ID: W00-1315) empirical term weighting and expansion frequency
• (ACL ID: W02-0102) an interactive spreadsheet for teaching the forward-backward algorithm
• (ACL ID: W02-0608) probabilistic context-free grammars for phonology
• (ACL ID: W02-2013) named entity extraction with conditional markov models and classifiers
• (ACL ID: W03-0429) named entity recognition using hundreds of thousands of features
• (ACL ID: W03-0432) named entity recognition using a character-based probabilistic approach
• (ACL ID: W03-1203) combining optimal clustering and hidden markov models for extractive summarization
• (ACL ID: W03-1504) low-cost named entity classification for catalan
• (ACL ID: W03-1701) unsupervised training for overlapping ambiguity resolution in chinese word segmentation
• (ACL ID: W03-1702) class based sense definition model for word sense tagging and disambiguation
• (ACL ID: W04-3207) bilingual parsing with factored estimation
• (ACL ID: W05-0606) computing word similarity and identifying cognates with pair hidden markov models
• (ACL ID: W05-0609) discriminative training of clustering functions
• (ACL ID: W05-0619) investigating the effects of selective sampling on the annotation task
• (ACL ID: W05-0708) pos tagging of dialectal arabic
• (ACL ID: W05-0709) the impact of morphological stemming on arabic mention detection and coreference resolution
• (ACL ID: W06-0208) learning domain-specific information extraction patterns from the web
• (ACL ID: W06-1603) paraphrase recognition via dissimilarity significance classification
• (ACL ID: W06-1615) domain adaptation with structural correspondence learning
• (ACL ID: W06-1623) inducing temporal graphs
• (ACL ID: W06-1624) a weakly supervised learning approach for spoken language understanding
• (ACL ID: W06-1647) lexicon acquisition for dialectal arabic using transductive learning
• (ACL ID: W06-2906) resolving and generating definite anaphora by modeling hypernymy using unlabeled corpora
• (ACL ID: W06-3328) bootstrapping and evaluating named entity recognition in the biomedical domain
• (ACL ID: W06-3401) prosodic correlates of rhetorical relations
• (ACL ID: W06-3802) graph based semi-supervised approach for information extraction
• (ACL ID: W94-0111) exploring the statistical derivation of transformational rule sequences for part-of-speech tagging
• (ACL ID: W95-0101) unsupervised learning of disambiguation rules for part of speech tagging
• (ACL ID: W95-0102) lexical heads, phrase structure and the induction of grammar
• (ACL ID: W95-0103) prepositional phrase attachment through a backed-off model
• (ACL ID: W95-0107) text chunking using transformation-based learning
• (ACL ID: W96-0209) apportioning development effort in a probabilistic lr parsing system through evaluation
• (ACL ID: W97-0121) collocation lattices and maximum entropy models
• (ACL ID: W97-0208) sense tagging
• (ACL ID: W97-0209) selectional preference and sense disambiguation
• (ACL ID: W97-0213) a perspective on word sense disambiguation methods and their evaluation
• (ACL ID: W97-0317) attaching multiple prepositional phrases
• (ACL ID: W97-0318) learning methods for combining linguistic indicators to classify verbs
• (ACL ID: W97-0400) spoken language translation
• (ACL ID: W97-1502) the treebanker
• (ACL ID: W98-0702) disambiguating verbs with the wordnet category of the direct object
• (ACL ID: W98-1110) generalized unknown morpheme guessing for hybrid pos tagging of korean
• (ACL ID: W99-0619) word informativeness and automatic pitch accent modeling
• (ACL ID: W99-0627) taking the load off the conference chairs-towards a digital paper-routing assistant