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» An Empirical Study of Information Synthesis Task
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ACL
2007
13 years 9 months ago
Instance Weighting for Domain Adaptation in NLP
Domain adaptation is an important problem in natural language processing (NLP) due to the lack of labeled data in novel domains. In this paper, we study the domain adaptation prob...
Jing Jiang, ChengXiang Zhai
LREC
2010
143views Education» more  LREC 2010»
13 years 9 months ago
Towards a Large Parallel Corpus of Cleft Constructions
We present our efforts to create a large-scale, semi-automatically annotated parallel corpus of cleft constructions. The corpus is intended to reduce or make more effective the ma...
Gerlof Bouma, Lilja Øvrelid, Jonas Kuhn
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
ICMI
2004
Springer
162views Biometrics» more  ICMI 2004»
14 years 26 days ago
When do we interact multimodally?: cognitive load and multimodal communication patterns
Mobile usage patterns often entail high and fluctuating levels of difficulty as well as dual tasking. One major theme explored in this research is whether a flexible multimodal in...
Sharon L. Oviatt, Rachel Coulston, Rebecca Lunsfor...
ICML
2010
IEEE
13 years 8 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun