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[PDF] Top 20 Syntactic Tree based Relation Extraction Using a Generalization of Collins and Duffy Convolution Tree Kernel

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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

... every relation type separately, and type compatible annotated and constructed relation instances are used to train ...each relation type, only type compatible relation instances are exploited ... See full document

6

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

... & Tree Kernels In this section, we first give the intuition that guides us in designing the proposed ...the syntactic seman- tic tree kernel presented in Plank and Moschitti (2013) ...the ... See full document

10

Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features

Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features

... a convolution tree kernel-based approach for relation extraction where the parse tree is expanded with entity features such as entity type, subtype, and mention level ... See full document

7

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

... composite kernel, we incorporate the EST into the DSPT to pro- duce a Unified Parse and Semantic Tree (UPST) to investigate the contribution of the EST to rela- tion ...and Duffy, 2001) to compute ... See full document

8

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

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

... a tree kernel with context- sensitive structured parse tree information for re- lation ...previous tree kernels for relation extraction in two ...context-sensitive tree ... See full document

9

Context Sensitive Convolution Tree Kernel for Pronoun Resolution

Context Sensitive Convolution Tree Kernel for Pronoun Resolution

... A convolution kernel (Haussler ...specialized convolution kernel, the convolution tree kernel, proposed in Collins and Duffy (2001), counts the number of ... See full document

7

Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

... integrate syntactic structures in machine learning algorithms is the use of tree ker- nel (TK) functions (Collins and Duffy, 2002), which have been successfully applied to question classifi- ... See full document

8

Tree Kernel based SVM with Structured Syntactic Knowledge for BTG based Phrase Reordering

Tree Kernel based SVM with Structured Syntactic Knowledge for BTG based Phrase Reordering

... of kernel-based machine learning method that can implicitly ex- plore (structured) features in a high dimensional feature space (Vapnik, 1995), in this paper we propose using convolution ... See full document

10

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

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

... proposed syntactic tree kernels enriched by lexical semantic similarity to tackle the portabil- ity of a relation extractor to different ...lexical generalization is very promising for domain ... See full document

10

A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

... a generalization of the feature-based methods by replacing the dot-product with a kernel func- tion between two vectors, or even between two ...A kernel function is a similarity function ... See full document

8

A Feature Enriched Tree Kernel for Relation Extraction

A Feature Enriched Tree Kernel for Relation Extraction

... Relation Extraction (RE) aims to identify a set of predefined relations between pairs of entities in ...years, relation extraction has re- ceived considerable research ...the tree ... See full document

7

A Hybrid Convolution Tree Kernel for Semantic Role Labeling

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

8

A Study of Convolution Tree Kernel with Local Alignment

A Study of Convolution Tree Kernel with Local Alignment

... Recently kernel-based methods have become a state-of-art technique and been widely used in natural language processing ...proper kernel function in terms of dif- ferent data ...hand, kernel ... See full document

8

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel

... parse tree should contrib- ute much more to performance improvement for relation ...tured syntactic features contributes less to per- formance ...the syntactic structure information in a parse ... See full document

8

Verb Classification using Distributional Similarity in Syntactic and Semantic Structures

Verb Classification using Distributional Similarity in Syntactic and Semantic Structures

... Second, SK is 2.56 percent points below the state- of-the-art achieved in (Brown et al., 2011) (BR), i.e, 82.08 vs. 84.64. In contrast, STK applied to our rep- resentation (CT, GRCT and LCT) produces compa- rable ... See full document

10

Explicit and Implicit Syntactic Features for Text Classification

Explicit and Implicit Syntactic Features for Text Classification

... explicit syntactic features of- ten outperformed tree kernels in accuracy, and even where they did not, the cost was multiple orders of magnitude increase in both training and testing ... See full document

7

Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation

Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation

... determination using the tree kernel on DET Finally, we evaluate the effect of LP-based anaphoricity determination on coreference reso- lution by including it as a preprocessing step to a ... See full document

9

Towards Compositional Tree Kernels

Towards Compositional Tree Kernels

... similar syntactic structure. For example in the MSRvid dataset, a sentence pair is given by The man are playing soccer and A man is riding a mo- torcycle, that are strictly syntactically correlated. As a side ... See full document

9

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

A Lexicalized Tree Kernel for Open Information Extraction

A Lexicalized Tree Kernel for Open Information Extraction

... the relation tag ‘R’ and the entity tags ‘NE’ are the terminal nodes attached to their re- spective POS ...dependency tree for our example sentence. Our lexicalized tree representation is derived ... See full document

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