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ACL
2008
14 years 11 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
ILP
2007
Springer
15 years 4 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
NLPRS
2001
Springer
15 years 2 months ago
A New Prosodic Phrasing Model for Chinese TTS Systems
This paper proposes a new prosodic phrasing model for Chinese text-tospeech systems. First, in contrast to the commonly used CART techniques, we propose a new inductive learning a...
Weijun Chen, Fuzong Lin, Jianmin Li, Bo Zhang
EVOW
2008
Springer
14 years 11 months ago
Composing Music with Neural Networks and Probabilistic Finite-State Machines
In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The sys...
Tomasz Michal Oliwa, Markus Wagner
ACL
2006
14 years 11 months ago
A Hybrid Relational Approach for WSD - First Results
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
Lucia Specia