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» Language Dynamics and Capitalization using Maximum Entropy
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NLDB
2005
Springer
14 years 1 months ago
Combining Data-Driven Systems for Improving Named Entity Recognition
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
Zornitsa Kozareva, Óscar Ferrández, ...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 8 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
CICLING
2008
Springer
13 years 9 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
CORR
2011
Springer
301views Education» more  CORR 2011»
12 years 11 months ago
Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh S...
NAACL
2007
13 years 9 months ago
Direct Translation Model 2
This paper presents a maximum entropy machine translation system using a minimal set of translation blocks (phrase-pairs). While recent phrase-based statistical machine translatio...
Abraham Ittycheriah, Salim Roukos