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» How Much Can We Gain from Supervised Word Alignment
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ICMLA
2010
13 years 8 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
ACL
2012
12 years 23 days ago
Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
We propose the first joint model for word segmentation, POS tagging, and dependency parsing for Chinese. Based on an extension of the incremental joint model for POS tagging and ...
Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, Jun-ic...
AAAI
2008
14 years 21 days ago
Cross-lingual Propagation for Morphological Analysis
Multilingual parallel text corpora provide a powerful means for propagating linguistic knowledge across languages. We present a model which jointly learns linguistic structure for...
Benjamin Snyder, Regina Barzilay
CSL
2010
Springer
13 years 11 months ago
Automata vs. Logics on Data Words
Abstract. The relationship between automata and logics has been investigated since the 1960s. In particular, it was shown how to determine, given an automaton, whether or not it is...
Michael Benedikt, Clemens Ley, Gabriele Puppis
BMCBI
2007
136views more  BMCBI 2007»
13 years 10 months ago
Comparison of protein structures by growing neighborhood alignments
Background: Design of protein structure comparison algorithm is an important research issue, having far reaching implications. In this article, we describe a protein structure com...
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, ...