[PDF] Top 20 Joint Memory Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
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Joint Memory Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
... The joint system that we submitted works in two phases: a classification phase in which three memory-based classifiers predict different aspects of joint syntactic and semantic ... See full document
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Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach
... become semantic roles of corresponding predicates should not be pruned by incorrect argument ...method based on heuristic rules to re- move invalid pairs, such as punctuations and some functional ... See full document
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The CoNLL 2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
... is based on the an- notated verb instances of the SALSA corpus (Bur- chardt et ...manual semantic role annotation on top of the syntactically annotated TIGER newspaper corpus, one of the standard Ger- man ... See full document
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Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
... purely syntactic anal- ysis to richer semantic representations, showing that the successful recovery of the meaning of text requires structured analyses of both its grammar and its ...a joint ... See full document
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The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
... a joint syntactic-semantic model using MaltParser with labels enriched with semantic in- formation; Llu´ıs and M`arquez, who used a modi- fied version of the Eisner algorithm to jointly pre- ... See full document
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A Second Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
... annotate syntactic and semantic depen- ...include semantic dependencies in the factors and extend their score function to combine syntactic and semantic ...the learning ... See full document
6
Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
... tilingual syntactic and semantic dependency parsing for our participation in the joint task of CoNLL-2009 shared ...seven languages, ... See full document
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A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
... Jan Hajiˇc and Massimiliano Ciaramita and Richard Jo- hansson and Daisuke Kawahara and Maria Ant`onia Mart´ı and Llu´ıs M`arquez and Adam Meyers and Joakim Nivre and Sebastian Pad´o and Jan ˇStˇep´anek and Pavel ... See full document
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Discriminative Learning of Syntactic and Semantic Dependencies
... the multiple classification model de- scribed in table 3, a binary classification model was built based on ME for predicate ...for multiple model, the values are 84.60 and 85.60. For semantic ... See full document
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A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
... both syntactic and semantic ...is based on Incremental Sig- moid Belief Networks (ISBNs), a recently pro- posed latent variable model for syntactic struc- ture prediction, which has shown very ... See full document
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Parsing Syntactic and Semantic Dependencies with Two Single Stage Maximum Entropy Models
... The joint parsing of syntactic and semantic depen- dencies introduced by the shared task of CoNLL- 08 is more complicated than syntactic dependency parsing or semantic role labeling ... See full document
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Joint Morphological and Syntactic Analysis for Richly Inflected Languages
... Another hypothesis from the literature is that the high type-token ratio resulting from large morpho- logical paradigms leads to data sparseness when es- timating the parameters of a statistical parsing model (Tsarfaty ... See full document
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Probabilistic Unification Based Integration Of Syntactic and Semantic Preferences For Nominal Compounds
... Probabilistic Unification Based Integration Of Syntactic and Semantic Preferences For Nominal Compounds Probe bilistic Unification Based Integration Of Syntactic and Semantic Preferences For Nominal C[.] ... See full document
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Scaling up Automatic Cross Lingual Semantic Role Annotation
... the languages and annotation framework adopted in previous work are not directly compara- ble to ours, and their methods have been evaluated on restricted test sets, results are not strictly com- ...transferring ... See full document
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Joint Apposition Extraction with Syntactic and Semantic Constraints
... F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Van- derplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011. ... See full document
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Joint Syntactic and Semantic Parsing of Chinese
... various semantic role-related features explored in our syntactic parsing model and their instantiations with re- gard to the example shown in Figure ...core semantic roles that the focus predicate ... See full document
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Greedy, Joint Syntactic Semantic Parsing with Stack LSTMs
... use syntactic parses to obtain interaction features between predicates and their arguments and then compress feature representa- tions using a low-rank ...SRL based on dynamic programming and their lo- cal ... See full document
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Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
... a semantic parsing model under an existing ...making semantic parsing predictions, leading to an improved multilingual semantic parsing ...multilingual semantic parsing that focuses on parsing ... See full document
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Recognizing Textual Entailment based on Deep Learning Approach
... Deep Neural Networks (DNNs) are extremely powerful machine learning models that achieve excellent performance on difficult problems such as speech recognition and visual object recognition. DNNs are powerful ... See full document
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Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar
... two additional kinds of information. First, atomic categories may have associated syntactic features given in square brackets. These features are used in CCGbank to distinguish variants of atomic syn- tactic ... See full document
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