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CIARP
2004
Springer
14 years 3 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
14 years 1 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
ECAI
2008
Springer
13 years 11 months ago
WWW sits the SAT: Measuring Relational Similarity on the Web
Abstract. Measuring relational similarity between words is important in numerous natural language processing tasks such as solving analogy questions and classifying noun-modifier r...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
ACL
2010
13 years 8 months ago
Extraction and Approximation of Numerical Attributes from the Web
We present a novel framework for automated extraction and approximation of numerical object attributes such as height and weight from the Web. Given an object-attribute pair, we d...
Dmitry Davidov, Ari Rappoport
STACS
1992
Springer
14 years 2 months ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...