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» Supervised Graph Inference
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ACL
2012
11 years 10 months ago
Lemmatisation as a Tagging Task
We present a novel approach to the task of word lemmatisation. We formalise lemmatisation as a category tagging task, by describing how a word-to-lemma transformation rule can be ...
Andrea Gesmundo, Tanja Samardzic
SEMWEB
2009
Springer
14 years 2 months ago
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently ...
Giovambattista Ianni, Thomas Krennwallner, Alessan...
EMNLP
2006
13 years 9 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam
ICDCS
2009
IEEE
14 years 4 months ago
On the Utility of Inference Mechanisms
A number of network path delay, loss, or bandwidth inference mechanisms have been proposed over the past decade. Concurrently, several network measurement services have been deplo...
Ethan Blanton, Sonia Fahmy, Greg N. Frederickson
EMMCVPR
2007
Springer
14 years 1 months ago
Bayesian Inference for Layer Representation with Mixed Markov Random Field
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang