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ICMLA
2008
15 years 7 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
LREC
2008
88views Education» more  LREC 2008»
15 years 7 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
SIGIR
2003
ACM
15 years 11 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
EUROPAR
2007
Springer
16 years 16 days ago
Parallel Nearest Neighbour Algorithms for Text Categorization
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
Reynaldo Gil-García, José Manuel Bad...
ACL
1993
15 years 7 months ago
Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach
In this paper we describe a new technique for parsing free text: a transformational grammar I is automatically learned that is capable of accurately parsing text into binary-branc...
Eric Brill