[PDF] Top 20 A Hybrid Convolution Tree Kernel for Semantic Role Labeling
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A Hybrid Convolution Tree Kernel for Semantic Role Labeling
... Many kernel functions have been proposed in machine learning community and have been ap- plied to NLP ...of convolution kernels, more and more kernels for restricted syntaxes or specific do- mains, such as ... See full document
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Speeding up Training with Tree Kernels for Node Relation Labeling
... of tree kernels during train- ing. The calculation of tree kernels is still heavy even with efficient dynamic pro- gramming (DP) ...the tree kernel for most tree ...propose tree ... See full document
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A Study of Convolution Tree Kernel with Local Alignment
... In this paper, we propose a tree kernel calcula- tion by allowing local alignments. More flex- ible productions are considered in line with modifiers in real sentences. Considering text related ... See full document
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Semantic Role Labeling via Tree Kernel Joint Inference
... the role type informa- tion (Arg) provide tree kernels with more meaning- ful fragments since they improve the basic model of about ...deeper semantic information generated by the Arg labels provides ... See full document
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Revisiting Arabic Semantic Role Labeling using SVM Kernel Methods
... (Diab et al., 2008) extends the first, rudimentary system by tailoring it to Arabic- specific features. This tailoring manifests in the form of feature selection for the SVM. The new, Arabic-specific features consist of ... See full document
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Semantic Role Labeling Systems for Arabic using Kernel Methods
... An important characteristic of the dataset is the use of unvowelized Arabic in the Buckwalter transliteration scheme for deriving the basic features for the AST experimental condition. The data com- prises a development ... See full document
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Tree Kernels for Semantic Role Labeling
... The outcome of this experiment is summarized in Table 4. We note two points. (1) The RND disambiguator (slightly) outperforms the HEU. This suggests that the heuristics that we implemented were inappropriate for solving ... See full document
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A Grammar driven Convolution Tree Kernel for Semantic Role Classification
... fill semantic arguments (roles) of the predicate have to be ...Generally, semantic role identification and classification are regarded as two key steps in semantic role ... See full document
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Fast Computing Grammar driven Convolution Tree Kernel for Semantic Role Labeling
... use convolution tree kernel (TK) methods (Collins and Duffy, 2001) for SRL and has shown promising re- ...tion tree kernel (GTK) for ... See full document
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Context Sensitive Convolution Tree Kernel for Pronoun Resolution
... explore kernel-based methods (Haussler, 1999) which can implicitly explore features in a high dimensional space by employing a kernel to calculate the similarity be- tween two objects ...parse tree ... See full document
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Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy
... of role r, the other sen- tences would be likely to have a predicate p’ with an argument a’ of role r, where p’ and a’ are the same or synonymous with p and a, re- spectively, as illustrated by the example ... See full document
5
Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features
... a convolution parse tree kernel expanded with entity features for relation extraction using Support Vector ...expanded convolution parse tree kernel achieves better performance ... See full document
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Grounded Semantic Role Labeling
... grounded semantic role labeling. Besides semantic roles ex- plicitly mentioned in language descriptions, our ap- proach also grounds implicit roles which are not explicitly ...mantic ... See full document
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Verb Classification using Distributional Similarity in Syntactic and Semantic Structures
... a tree (so that we can use it in tree kernels), we use (i) lexemes as nodes of our tree, (ii) their dependen- cies as edges between the nodes and (iii) the depen- dency labels, ...as tree ... See full document
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Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
... parse tree-related features in the flat feature set 2 are embedded in the feature space of our method: “Base Phrase Chunking” and “Parse Tree” fea- tures explicitly appear as substructures of a parse ... See full document
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Enhancing Opinion Role Labeling with Semantic Aware Word Representations from Semantic Role Labeling
... mantic role labeling (SRL) which identifies the core semantic roles for given ...possible semantic roles for a given opinion expression, and then map the se- mantic roles into opinion roles ... See full document
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Semantic Role Labeling of Emotions in Tweets
... of semantic role labeling of emotions in tweets described earlier in the paper, we treat the detection of emotional state and stimulus as two subtasks for which we train state-of-the-art support ... See full document
10
Low Resource Semantic Role Labeling
... We explore the extent to which high- resource manual annotations such as tree- banks are necessary for the task of se- mantic role labeling (SRL). We examine how performance changes without syntac- ... See full document
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Semantic Role Labeling Without Treebanks?
... For this reason, we revisit our earlier decision to generate a tag dictionary with no cutoff. Instead, we generate a tag dictionary of categories that make up at least 10% of the word tokens. For example, suppose the ... See full document
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Sentence Simplification for Semantic Role Labeling
... Another group of related work focuses on summa- rizing sentences through a series of deletions (Jing, 2000; Dorr et al., 2003; Galley & McKeown, 2007). In particular, the latter two works iteratively simplify the ... See full document
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