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COLT
2008
Springer
13 years 10 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer
ACL
2007
13 years 10 months ago
Corpus Effects on the Evaluation of Automated Transliteration Systems
Most current machine transliteration systems employ a corpus of known sourcetarget word pairs to train their system, and typically evaluate their systems on a similar corpus. In t...
Sarvnaz Karimi, Andrew Turpin, Falk Scholer
DGO
2007
152views Education» more  DGO 2007»
13 years 10 months ago
Identifying and classifying subjective claims
To understand the subjective documents, for example, public comments on the government’s proposed regulation, opinion identification and classification is required. Rather than ...
Namhee Kwon, Liang Zhou, Eduard H. Hovy, Stuart W....
LREC
2010
246views Education» more  LREC 2010»
13 years 10 months ago
GermanPolarityClues: A Lexical Resource for German Sentiment Analysis
In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis for the German language. While sentiment analysis and polarity clas...
Ulli Waltinger
EMNLP
2008
13 years 10 months ago
A Simple and Effective Hierarchical Phrase Reordering Model
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models ...
Michel Galley, Christopher D. Manning