STATISTICAL PARSERS: Related Papers in ACL Anthology

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

• (ACL ID: C00-1051) committee-based decision making in probabiiistic partial parsing
• (ACL ID: C00-1060) a hybrid japanese parser with hand-crafted grammar and statistics
• (ACL ID: C02-1075) a novel disambiguation method for unification-based grammars using probabilistic context-free approximations
• (ACL ID: C02-1126) recovering latent information in treebanks
• (ACL ID: C02-1132) probabilistic models of verb-argument structure
• (ACL ID: C04-1021) modern natural language interfaces to databases
• (ACL ID: C04-1180) wide-coverage semantic representations from a ccg parser
• (ACL ID: C96-1020) beyond skeleton parsing
• (ACL ID: J01-2002) improving accuracy in word class tagging through the combination of machine learning systems
• (ACL ID: J01-2004) probabilistic top-down parsing and language modeling
• (ACL ID: J04-3001) sample selection for statistical parsing
• (ACL ID: J04-4004) intricacies of collins’ parsing model
• (ACL ID: J05-1004) the proposition bank
• (ACL ID: J98-2004) new figures of merit for best-first probabilistic chart parsing
• (ACL ID: J99-2004) supertagging
• (ACL ID: N01-1016) edit detection and parsing for transcribed speech
• (ACL ID: N01-1023) applying co-training methods to statistical parsing
• (ACL ID: N03-1014) inducing history representations for broad coverage statistical parsing
• (ACL ID: N03-1027) supervised and unsupervised pcfg adaptation to novel domains
• (ACL ID: N03-1029) comma restoration using constituency information
• (ACL ID: N03-1031) example selection for bootstrapping statistical parsers
• (ACL ID: N03-1033) feature-rich part-of-speech tagging with a cyclic dependency network
• (ACL ID: N04-1011) sentence-internal prosody does not help parsing the way punctuation does
• (ACL ID: N04-1013) speed and accuracy in shallow and deep stochastic parsing
• (ACL ID: N04-1021) a smorgasbord of features for statistical machine translation
• (ACL ID: N04-2004) a computational framework for non-lexicalist semantics
• (ACL ID: N04-3006) open text semantic parsing using framenet and wordnet
• (ACL ID: N06-1019) partial training for a lexicalized-grammar parser
• (ACL ID: N06-1023) a fully-lexicalized probabilistic model for japanese syntactic and case structure analysis
• (ACL ID: N06-1031) relabeling syntax trees to improve syntax-based machine translation quality
• (ACL ID: N06-1032) grammatical machine translation
• (ACL ID: N06-2026) accurate parsing of the proposition bank
• (ACL ID: P00-1061) lexicalized stochastic modeling of constraint-based grammars using log-linear measures and em training
• (ACL ID: P01-1008) extracting paraphrases from a parallel corpus
• (ACL ID: P02-1016) active learning for statistical natural language parsing
• (ACL ID: P02-1018) a simple pattern-matching algorithm for recovering empty nodes and their antecedents
• (ACL ID: P02-1041) coupling ccg and hybrid logic dependency semantics
• (ACL ID: P02-1042) building deep dependency structures using a wide-coverage ccg parser
• (ACL ID: P02-1043) generative models for statistical parsing with combinatory categorial grammar
• (ACL ID: P02-1055) shallow parsing on the basis of words only
• (ACL ID: P03-1046) parsing with generative models of predicate-argument structure
• (ACL ID: P03-1068) towards a resource for lexical semantics
• (ACL ID: P04-1013) discriminative training of a neural network statistical parser
• (ACL ID: P04-1040) enriching the output of a parser using memory-based learning
• (ACL ID: P04-1042) deep dependencies from context-free statistical parsers
• (ACL ID: P04-1082) using linguistic principles to recover empty categories
• (ACL ID: P05-1022) coarse-to-fine n-best parsing and maxent discriminative reranking
• (ACL ID: P05-1023) data-defined kernels for parse reranking derived from probabilistic models
• (ACL ID: P06-1023) trace prediction and recovery with unlexicalized pcfgs and slash features
• (ACL ID: P06-1043) reranking and self-training for parser adaptation
• (ACL ID: P06-2006) evaluating the accuracy of an unlexicalized statistical parser on the parc depbank
• (ACL ID: P06-2067) parsing and subcategorization data
• (ACL ID: P06-2089) a best-first probabilistic shift-reduce parser
• (ACL ID: P06-3014) parsing and subcategorization data
• (ACL ID: P98-2184) how verb subcategorization frequencies are affected by corpus choice
• (ACL ID: P99-1010) supervised grammar induction using training data with limited constituent information
• (ACL ID: P99-1065) a statistical parser for czech
• (ACL ID: W00-0709) overfitting avoidance for stochastic modeling of attribute-value grammars
• (ACL ID: W00-1307) a uniform method of grammar extraction and its applications
• (ACL ID: W00-1320) a statistical model for parsing and word-sense disambiguation
• (ACL ID: W01-0521) corpus variation and parser performance
• (ACL ID: W01-0712) learning computational grammars
• (ACL ID: W02-1302) towards a road map on human language technology
• (ACL ID: W03-0403) active learning for hpsg parse selection
• (ACL ID: W03-0407) bootstrapping pos-taggers using unlabelled data
• (ACL ID: W03-1012) using ltag based features in parse reranking
• (ACL ID: W03-1015) bootstrapping coreference classifiers with multiple machine learning algorithms
• (ACL ID: W03-1025) a maximum entropy chinese character-based parser
• (ACL ID: W03-1608) extracting structural paraphrases from aligned monolingual corpora
• (ACL ID: W04-0305) lookahead in deterministic left-corner parsing
• (ACL ID: W04-0307) a statistical constraint dependency grammar (cdg) parser
• (ACL ID: W04-0902) solving logic puzzles
• (ACL ID: W04-2003) a robust and hybrid deep-linguistic theory applied to large-scale parsing
• (ACL ID: W04-2008) an algorithm for open text semantic parsing
• (ACL ID: W04-3007) robustness issues in a data-driven spoken language understanding system
• (ACL ID: W04-3203) induction of greedy controllers for deterministic treebank parsers
• (ACL ID: W04-3215) object-extraction and question-parsing using ccg
• (ACL ID: W04-3228) dependencies vs. constituents for tree-based alignment
• (ACL ID: W05-0602) a statistical semantic parser that integrates syntax and semantics
• (ACL ID: W05-1505) corrective modeling for non-projective dependency parsing
• (ACL ID: W05-1507) machine translation as lexicalized parsing with hooks
• (ACL ID: W05-1509) lexical and structural biases for function parsing
• (ACL ID: W05-1513) a classifier-based parser with linear run-time complexity
• (ACL ID: W05-1516) strictly lexical dependency parsing
• (ACL ID: W05-1529) robust extraction of subcategorization data from spoken language
• (ACL ID: W06-1501) the hidden tag model
• (ACL ID: W06-1604) detecting parser errors using web-based semantic filters
• (ACL ID: W06-1638) better informed training of latent syntactic features
• (ACL ID: W06-2303) robust parsing of the proposition bank
• (ACL ID: W06-2603) decomposition kernels for natural language processing
• (ACL ID: W06-2902) porting statistical parsers with data-defined kernels
• (ACL ID: W06-2903) non-local modeling with a mixture of pcfgs
• (ACL ID: W06-2929) vine parsing and minimum risk reranking for speed and precision
• (ACL ID: W96-0111) two questions about data-oriented parsing
• (ACL ID: W97-0302) global thresholding and multiple-pass parsing
• (ACL ID: W98-1116) what grammars tell us about corpora
• (ACL ID: W99-0623) exploiting diversity in natural language processing
• (ACL ID: W99-0635) corpus-based approach for nominal compound analysis for korean based on linguistic and statistical information