PROBABILITY ESTIMATION: Related Papers in ACL Anthology

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

• (ACL ID: C00-1029) a class-based probabilistic approach to structural disambiguation
• (ACL ID: C02-1078) a probabilistic method for analyzing japanese anaphora integrating zero pronoun detection and resolution
• (ACL ID: C02-1151) probabilistic reasoning for entity & relation recognition
• (ACL ID: C04-1082) tagging with hidden markov models using ambiguous tags
• (ACL ID: C04-1089) mining new word translations from comparable corpora
• (ACL ID: C04-1197) semantic role labeling via integer linear programming inference
• (ACL ID: C92-3147) b-sure
• (ACL ID: E87-1016) stochastic modeling of language via sentence space partitioning
• (ACL ID: E93-1006) using an annotated corpus as a stochastic grammar
• (ACL ID: E99-1026) japanese dependency structure analysis based on maximum entropy models
• (ACL ID: H05-1026) training neural network language models on very large corpora
• (ACL ID: H91-1044) parsing the voyager domain using pearl
• (ACL ID: H94-1042) integrated techniques for phrase extraction from speech
• (ACL ID: J02-2003) class-based probability estimation using a semantic hierarchy
• (ACL ID: J03-3005) using the web to obtain frequencies for unseen bigrams
• (ACL ID: J04-2004) machine translation with inferred stochastic finite-state transducers
• (ACL ID: J05-1004) the proposition bank
• (ACL ID: J95-2002) an efficient probabilistic context-free parsing algorithm that computes prefix probabilities
• (ACL ID: J97-2004) a class-based approach to word alignment
• (ACL ID: N01-1029) a structured language model based on context-sensitive probabilistic left-corner parsing
• (ACL ID: N03-1014) inducing history representations for broad coverage statistical parsing
• (ACL ID: N06-1002) do we need phrases? challenging the conventional wisdom in statistical machine translation
• (ACL ID: N06-1023) a fully-lexicalized probabilistic model for japanese syntactic and case structure analysis
• (ACL ID: N06-2001) factored neural language models
• (ACL ID: P03-1011) loosely tree-based alignment for machine translation
• (ACL ID: P03-1020) truecasing
• (ACL ID: P03-1051) language model based arabic word segmentation
• (ACL ID: P03-1064) a snow based supertagger with application to np chunking
• (ACL ID: P04-1013) discriminative training of a neural network statistical parser
• (ACL ID: P04-1022) collocation translation acquisition using monolingual corpora
• (ACL ID: P06-1061) segment-based hidden markov models for information extraction
• (ACL ID: P06-1105) japanese dependency parsing using co-occurrence information and a combination of case elements
• (ACL ID: P06-1107) discovering asymmetric entailment relations between verbs using selectional preferences
• (ACL ID: P06-2016) techniques to incorporate the benefits of a hierarchy in a modified hidden markov model
• (ACL ID: P06-2112) word alignment for languages with scarce resources using bilingual corpora of other language pairs
• (ACL ID: P94-1025) part-of-speech tagging using a variable memory markov model
• (ACL ID: P95-1001) learning phonological rule probabilities from speech corpora with exploratory computational phonology
• (ACL ID: P95-1039) tagset reduction without information loss
• (ACL ID: P96-1025) a new statistical parser based on bigram lexical dependencies
• (ACL ID: P97-1059) finite state transducers approximating hidden markov models
• (ACL ID: P98-1035) exploiting syntactic structure for language modeling
• (ACL ID: P98-1083) using decision trees to construct a practical parser
• (ACL ID: P99-1004) measures of distributional similarity
• (ACL ID: P99-1005) distributional similarity models
• (ACL ID: P99-1022) dynamic nonlocal language modeling via hierarchical topic-based adaptation
• (ACL ID: P99-1049) an efficient statistical speech act type tagging system for speech translation systems
• (ACL ID: W00-1106) corpus-based learning of compound noun indexing
• (ACL ID: W00-1304) coaxing confidences from an old freind
• (ACL ID: W00-1311) detection of language (model) errors
• (ACL ID: W01-0707) probabilistic models for pp-attachment resolution and np analysis
• (ACL ID: W02-1005) augmented mixture models for lexical disambiguation
• (ACL ID: W02-1032) exploiting headword dependency and predictive clustering for language modeling
• (ACL ID: W02-2008) a very very large corpus doesn't always yield reliable estimates
• (ACL ID: W03-1008) identifying semantic roles using combinatory categorial grammar
• (ACL ID: W03-1021) training connectionist models for the structured language model
• (ACL ID: W04-0305) lookahead in deterministic left-corner parsing
• (ACL ID: W04-2401) a linear programming formulation for global inference in natural language tasks
• (ACL ID: W04-2421) semantic role labeling via generalized inference over classifiers
• (ACL ID: W04-3209) comparing and combining generative and posterior probability models
• (ACL ID: W04-3242) random forests in language modelin
• (ACL ID: W05-0602) a statistical semantic parser that integrates syntax and semantics
• (ACL ID: W05-0821) improved language modeling for statistical machine translation
• (ACL ID: W05-1001) data homogeneity and semantic role tagging in chinese
• (ACL ID: W05-1205) recognizing paraphrases and textual entailment using inversion transduction grammars
• (ACL ID: W05-1208) a probabilistic setting and lexical coocurrence model for textual entailment
• (ACL ID: W05-1528) k-nn for local probability estimation in generative parsing models
• (ACL ID: W06-1622) semantic role labeling via instance-based learning
• (ACL ID: W06-1626) distributed language modeling for $n$-best list re-ranking
• (ACL ID: W06-1653) relevance feedback models for recommendation
• (ACL ID: W06-2907) investigating lexical substitution scoring for subtitle generation
• (ACL ID: W97-0405) a formal basis for spoken language translation by analogy
• (ACL ID: W98-1110) generalized unknown morpheme guessing for hybrid pos tagging of korean
• (ACL ID: W98-1205) look-back and look-ahead in the conversion of hidden markov models into finite state transducers