tree kernel
A Feature Enriched Tree Kernel for Relation Extraction
... the tree kernel (Zelenko et ...parse tree information for relation ...the tree kernel-based RE method first represents the relation information between them using a proper ...
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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 ...
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Fast Computing Grammar driven Convolution Tree Kernel for Semantic Role Labeling
... and Che et al. (2006) are two reported work to use convolution tree kernel (TK) methods (Collins and Duffy, 2001) for SRL and has shown promising re- sults. However, as a general learning algorithm, the TK ...
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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 span for ...
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A Hybrid Convolution Tree Kernel for Semantic Role Labeling
... convolution tree kernel is pro- posed in this paper to effectively model syntactic structures for semantic role la- beling ...hybrid kernel consists of two individual convolution kernels: a Path ...
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A Grammar driven Convolution Tree Kernel for Semantic Role Classification
... Convolution tree kernel has shown promis- ing results in semantic role ...convolution tree kernel for semantic role classification by introducing more lin- guistic knowledge into the standard ...
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Tree Kernel based Negation and Speculation Scope Detection with Structured Syntactic Parse Features
... The existing machine learning based approaches substantially improve the robustness of scope de- tection, and have nearly 80% accuracy. However, the approaches ignore the availability of the struc- tured syntactic parse ...
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A Lexicalized Tree Kernel for Open Information Extraction
... The results in Table 3 show that our system con- sistently outperforms the other two systems, with absolute gains in F-score between 4 and 16%. We include the reported results of (Xu et al., 2013) on the Penn Treebank ...
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Greedy Feature Selection in Tree Kernel Spaces
... dimensional kernel spaces allow us to model very complex problems more easily and with smaller injections of domain knowledge, but on the other hand we cannot directly observe the most relevant features, which ...
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Reverse Engineering of Tree Kernel Feature Spaces
... We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernel- based machine, e.g. Support ...
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Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features
... parse tree kernel expanded with entity features for relation extraction using Support Vector ...parse tree kernel achieves better performance on relation extraction than recent feature-based ...
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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 kernel, ...
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Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
... our tree kernel method significantly outperform the previous two depend- ency kernel algorithms by 16 in F-measure on the 5 ACE relation types 4 ...dependency tree lacks the hierarchical ...
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A Tree Kernel Based Unified Framework for Chinese Zero Anaphora Resolution
... of tree kernel-based methods indicates the critical role of the structural information in zero anaphora resolution and the necessity of tree kernel methods in modeling such structural ...
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Combined Tree Kernel based classifiers for Assessing Quality of Scientific Text
... This document describes Tree Kernel-SVM based methods for identifying sentences that could be improved in scientific text. This has the goal of contributing to the body of knowl- edge that attempt to build ...
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Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation
... (Quadratic Tree Kernel) and the state-of-the-art FTK (Fast Tree Kernel), both of which were proposed by Moschitti ...the kernel val- ues between the constituency parses produced by the ...
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A Walk Based Semantically Enriched Tree Kernel Over Distributed Word Representations
... NLP Tree kernels have been ex- tensively used to capture syntactic information about parse trees in tasks such as parsing (Collins and Duffy, 2002), NER (Wang et ...partial tree kernel that adds ...
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Semantic Role Labeling via Tree Kernel Joint Inference
... Finally, the high computation time of the re- ranker prevented us to use the larger structures which include all arguments. The major complexity issue was the slow training and classification time of SVMs. The time ...
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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 ...
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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 ...
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