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» Kernels for Structured Natural Language Data
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EMNLP
2011
12 years 5 months ago
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
Danilo Croce, Alessandro Moschitti, Roberto Basili
NIPS
2001
13 years 6 months ago
Convolution Kernels for Natural Language
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Michael Collins, Nigel Duffy
EMNLP
2009
13 years 3 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
EMNLP
2009
13 years 3 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
AAAI
2010
13 years 7 months ago
Kernelized Sorting for Natural Language Processing
Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...