[PDF] Top 20 Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
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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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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
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Syntactic Tree based Relation Extraction Using a Generalization of Collins and Duffy Convolution Tree Kernel
... Relation extraction is a challenging task in natural language ...processing. Syntactic features are recently shown to be quite effective for relation ...art syntactic ... See full document
6
Descending Path Convolution Kernel for Syntactic Structures
... novel convolution tree kernel (DPK) for measuring syntactic similar- ...This kernel uses a descending path represen- tation in trees to allow higher similarity scores on partially ... See full document
6
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 function ... See full document
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Tree Kernel Based Relation Extraction with Context Sensitive Structured Parse Tree Information
... context-sensitive convolution tree kernel as shown in Equation (3) indicates the maximal length of root node paths and is optimized to 3 using 5-fold cross validation on the ACE RDC 2003 ... See full document
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Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
... in convolution tree ...Content Extraction (ACE) data, we evaluate the impact of convolu- tion tree kernels embedding lexical semantic sim- ...of tree fragments generalized at the ... See full document
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A Feature Enriched Tree Kernel for Relation Extraction
... Tree kernel is an effective technique for rela- tion ...tactic tree representation is often too coarse or ambiguous to accurately capture the semantic relation information between two ...new ... See full document
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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 ...entity features can be at- ... See full document
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Context Sensitive Convolution Tree Kernel for Pronoun Resolution
... the syntactic structure out- put by McCord’s Slot Grammar ...traditional syntactic co-reference ...on exploring syntactic struc- tured information in the literature of pronoun reso- lution, ... See full document
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Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction
... less-informative syntactic dependencies in- side dependency patterns to make them more ac- curate and ...TPWF kernel (which is a component of the proposed hybrid ... See full document
10
Exploring Syntactic Relation Patterns for Question Answering
... the syntactic relation patterns (SRP) for the AE ...of relation between a question word and an answer can- didate in the syntactic ...sentence syntactic structure rather than the ... See full document
12
Frame Semantic Tree Kernels for Social Network Extraction from Text
... the relation extraction community (Nguyen et ...of relation extrac- tion is most closely related to the tasks addressed in this ...and relation-specific semantics (Zelenko et ...for ... See full document
9
Exploring Syntactic Structural Features for Sub Tree Alignment Using Bilingual Tree Kernels
... structural features, rendering the syntactic rich task of sub-tree align- ment less convincing and ...the syntactic structures in a parse tree pair are hard to describe using ... See full document
10
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
... a kernel func- tion between two vectors, or even between two ...A kernel function is a similarity function satisfying the properties of being symmetric and ...Recently, kernel methods are attracting ... See full document
8
Towards Compositional Tree Kernels
... the syntactic structure yet. On the other hand, Convolution Ker- nels (Haussler, 1999) are well-known similarity functions among such complex ...ticular, Tree Kernels (TKs) introduced in (Collins and ... See full document
9
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 baseline ... See full document
9
Kernel Methods for Relation Extraction
... Several probabilistic frameworks for modeling sequential data have recently been introduced to alleviate for HMM restrictions. We note Maximum Entropy Markov Models (MEMM) (McCallum et al., 2000) and Conditional Random ... See full document
24
Kernel Methods for Relation Extraction
... Language Processing EMNLP, Philadelphia, July 2002, pp.. Proceedings of the Conference on Empirical Methods in Natural.[r] ... See full document
8
Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms
... cessing, tree representations, and smoothing par- tial tree kernel ...of tree structures for capturing the information of syntac- tic, content, and semantic of the ...partial ... See full document
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