Sciweavers

44 search results - page 3 / 9
» Morphological and Syntactic Processing for Text Retrieval
Sort
View
ICML
2010
IEEE
13 years 7 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay
COLING
2000
13 years 8 months ago
Automatic Semantic Sequence Extraction from Unrestricted Non-Tagged Texts
Mophological processing, syntactic parsing and other useflfl tools have been proposed in the field of natural language processing(NLP). Many of those NLP tools take dictionary-bas...
Shiho Nobesawa, Hiroaki Saito, Masakazu Nakanishi
ICMLA
2008
13 years 8 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
CIKM
2008
Springer
13 years 8 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
CIARP
2004
Springer
13 years 12 months ago
Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...