[PDF] Top 20 On Reverse Feature Engineering of Syntactic Tree Kernels
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On Reverse Feature Engineering of Syntactic Tree Kernels
... on feature selection for text, ...for feature selection is different for several important reasons: (i) we focus on structured features with a syntactic nature, which show different behaviour from ... See full document
11
Structural Representations for Learning Relations between Pairs of Texts
... text. Engineering effective features that can capture syntactic and semantic re- lations between the constituents compos- ing the target text pairs is rather ...define syntactic and semantic ... See full document
11
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
... structured syntactic fea- tures, and therefore outperforms previous best- reported feature-based methods on the ACE cor- ...sive feature engineering, an individual tree ker- nel ... See full document
8
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
Convolution Kernels for Opinion Holder Extraction
... explicit feature representa- ...convolution kernels, such as sequence and tree ker- nels, are quite effective when compared to manual feature engineering (Moschitti, 2008; Bunescu and ... See full document
9
Approximate Tree Kernels
... Moreover, tree-structured data also arises as part of unsupervised learning problems, such as clustering and anomaly detection. For instance, a critical task in computer security is the automatic detection of ... See full document
26
Dependency Tree based SRL with Proper Pruning and Extensive Feature Engineering
... dependency tree- based SRL system with proper pruning and extensive feature ...for syntactic dependencies, and ...extensive feature engineering contributes much in dependency ... See full document
5
Towards Compositional Tree Kernels
... the Tree Ker- nels operators, a co-occurrence Word Space is ac- quired through the distributional analysis of the UkWaC corpus (Baroni et ...asymmetric syntactic behaviors ... See full document
9
Automatically Assessing Free Texts
... uses syntactic and/or shallow semantic tree kernels to measure the textual similarity between the student-written essays and the given course ...any syntactic/semantic appropriateness can lead ... See full document
8
Exploring Syntactic Structural Features for Sub Tree Alignment Using Bilingual Tree Kernels
... Due to the above issues, we annotate a new data set to apply the sub-tree alignment in machine translation. We randomly select 300 bilingual sen- tence pairs from the Chinese-English FBIS corpus with the length 30 ... See full document
10
Convolutional Neural Networks vs Convolution Kernels: Feature Engineering for Answer Sentence Reranking
... important syntactic and semantic aspects of the input ...However, engineering features spanning two pieces of text such as in QA is a more complex task than classifying single ... See full document
11
Re Ranking Models for Spoken Language Understanding
... one tree. Kernel meth- ods show that combinations of feature vectors, se- quence kernels and other structural kernels, ...deep syntactic parse trees, appear to be a promising research ... See full document
9
Kernel Based Pronoun Resolution with Structured Syntactic Knowledge
... structured syntactic knowledge to do pronoun resolution. Traditionally, syntactic in- formation from parse trees is represented as a set of flat ...the syntactic informa- tion provided by the parse ... See full document
8
Feature Estimation and Registration of Point Clouds in Reverse Engineering
... binary tree to calculate the initial curve, then according to the curve between point cloud data and two-dimensional square distance control polygon adjustment curve continuously, fitting curves by two-dimensional ... See full document
5
Detecting Opinion Polarities using Kernel Methods
... from syntactic analysis of text can boost the performance of surface-oriented models, by capturing information that these models cannot (Karl- gren et ...use tree kernels to model both the ... See full document
10
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 ...into tree kernel. ... See full document
7
Syntactic and Semantic Kernels for Short Text Pair Categorization
... (Joachims, 1999) software). In it, we imple- mented: the String Kernel (SK), the Syntactic Tree Kernel (STK), the Shallow Semantic Tree Kernel (SSTK) and the Semantic Role Kernel (SRK) de- scribed in ... See full document
9
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 ... See full document
10
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 hyperplane learnt ... See full document
10
Tree Kernels for Semantic Role Labeling
... sentence syntactic parse tree that encodes the relationships governing complex semantic ...which syntactic clues effectively capture the relation between the predicate and its ...automatic ... See full document
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