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ICMLA
2008
10 years 1 months ago
Text Classification Using Tree Kernels and Linguistic Information
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
Teresa Gonçalves, Paulo Quaresma
ACL
2015
4 years 7 months ago
A Lexicalized Tree Kernel for Open Information Extraction
In contrast with traditional relation extraction, which only considers a fixed set of relations, Open Information Extraction (Open IE) aims at extracting all types of relations f...
Ying Xu, Christoph Ringlstetter, Mi-Young Kim, Grz...
ACL
2009
9 years 9 months ago
Composite Kernels For Relation Extraction
The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how differen...
Frank Reichartz, Hannes Korte, Gerhard Paass
SIGIR
2003
ACM
10 years 5 months ago
Question classification using support vector machines
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Dell Zhang, Wee Sun Lee
CIKM
2008
Springer
10 years 1 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti
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