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[PDF] Top 20 A Feature Enriched Tree Kernel for Relation Extraction

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A Feature Enriched Tree Kernel for Relation Extraction

A Feature Enriched Tree Kernel for Relation Extraction

... current tree kernel is that the syntactic tree representation often cannot accurately capture the relation ...a tree kernel; Plank and Moschitti (2013) and Liu et ...Semantic ... See full document

7

A Lexicalized Tree Kernel for Open Information Extraction

A Lexicalized Tree Kernel for Open Information Extraction

... traditional relation ex- traction, which only considers a fixed set of relations, Open Information Extraction (Open IE) aims at extracting all types of relations from ...ized tree kernel based ... See full document

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A Shortest Path Dependency Kernel for Relation Extraction

A Shortest Path Dependency Kernel for Relation Extraction

... the kernel, however this led to a slight decrease in ...larger kernel scores in the unnormalized version does not pose a problem because, by defi- nition, paths of different lengths correspond to dis- joint ... See full document

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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel based Method for Relation Extraction

Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel based Method for Relation Extraction

... Plank and Moschitti (2013) propose to resolve this issue for STK using the semantic syntac- tic tree kernel (SSTK) (Bloehdorn and Moschitti, 2007) and apply it to the domain adaptation prob- lem of RE. The ... See full document

10

Dependency Tree Kernels for Relation Extraction

Dependency Tree Kernels for Relation Extraction

... dimensional feature vector. Much time is spent on the task of feature engineering – searching for the optimal feature set either manually by consulting domain experts or automatically through ... See full document

7

Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees

Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees

... new tree kernel for node relation labeling, as which SRL can be ...This kernel is defined on marked ordered la- beled trees, where a node can have a mark to indicate the existence of a ...this ... See full document

8

Greedy Feature Selection in Tree Kernel Spaces

Greedy Feature Selection in Tree Kernel Spaces

... our feature selection ap- proach for structural kernel is efficient and ...cor- relation between the optimal value of the threshold factor parameter and the classification ... See full document

217

Reverse Engineering of Tree Kernel Feature Spaces

Reverse Engineering of Tree Kernel Feature Spaces

... a feature extraction algorithm for Tree Kernel (TK) spaces, which selects the most relevant features (tree fragments) according to the gradient compo- nents (weight vector) of the ... See full document

10

Unsupervised Feature Selection for Relation Extraction

Unsupervised Feature Selection for Relation Extraction

... Relation extraction is the task of finding rela- tionships between two entities from text ...of relation patterns, using corpora which have been annotated to indicate the information to be extracted ... See full document

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A Systematic Exploration of the Feature Space for Relation Extraction

A Systematic Exploration of the Feature Space for Relation Extraction

... for relation extraction, which serves as a general framework for systematically exploring fea- tures defined on natural language ...ied feature space includes not only most of the ef- fective ... See full document

8

Discovery of Dependency Tree Patterns for Relation Extraction

Discovery of Dependency Tree Patterns for Relation Extraction

... Abstract. Relation extraction is to identify the relations between pairs of named ...of relation extraction by discovering dependency tree patterns (a pattern is an embedded sub ... See full document

8

Improved Edit Distance Kernel for Chinese Relation Extraction

Improved Edit Distance Kernel for Chinese Relation Extraction

... IED kernel methods perform very well for the person-affiliation relation ...expensive feature selec- tion stage like feature-based ...IED kernel method uses the semantic similar- ity ... See full document

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A Walk Based Semantically Enriched Tree Kernel Over Distributed Word Representations

A Walk Based Semantically Enriched Tree Kernel Over Distributed Word Representations

... graph kernel that generalizes the notion of tree- kernels to continuous ...parse tree). We show an ef- ficient formulation to compute this kernel us- ing simple matrix ... See full document

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Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

... our system publicly available (see Section 5). Table 3 shows that our system (bottom) aligns well with the state of the art. Our best sys- tem (composite kernel with polynomial expan- sion) reaches an F1 of 70.1, ... See full document

10

Kernel PCA feature extraction and the SVM classification algorithm for multiple status, through wall, human being detection

Kernel PCA feature extraction and the SVM classification algorithm for multiple status, through wall, human being detection

... The kernel principal component analysis (KPCA) method can deal with the nonlinear relationship between variables as a multi- variable statistical process monitoring effective algorithm using this method to ... See full document

7

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

... for tree kernel-based relation extraction, and proposes a new approach to dynamically determine the tree span (DSPT) for relation instances by exploiting constituent ...composite ... See full document

8

Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features

Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features

... composite kernel (Zhang et al, 2006), our system further prunes the parse tree and incorporates entity features into the convolution parse tree ...with feature- based systems (Zhou et al, 2006 ... See full document

7

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel

... dependency kernel for relation ...Their kernel is very straight- ...this kernel is that they limit the two paths must have the same length, otherwise the kernel similarity score is ... See full document

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Tree Kernel Based Relation Extraction with Context Sensitive Structured Parse Tree Information

Tree Kernel Based Relation Extraction with Context Sensitive Structured Parse Tree Information

... necessary tree span for the relation extract ...necessary tree span for a relation should be determined dynamically according to its tree span category and ...parsed tree and two ... See full document

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Syntactic Tree based Relation Extraction Using a Generalization of Collins and Duffy Convolution Tree Kernel

Syntactic Tree based Relation Extraction Using a Generalization of Collins and Duffy Convolution Tree Kernel

... In the first case, when the two nodes represent different production rules they can't accordingly have any sub-trees in common. In the second case, there is exactly one common sub-tree of size two. It should be ... See full document

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