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ACML
2009
Springer
14 years 10 days ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
ACL
2010
13 years 5 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
ICSE
2010
IEEE-ACM
13 years 9 months ago
Linking e-mails and source code artifacts
E-mails concerning the development issues of a system constitute an important source of information about high-level design decisions, low-level implementation concerns, and the s...
Alberto Bacchelli, Michele Lanza, Romain Robbes
CIKM
2008
Springer
13 years 9 months ago
How should users access the content of digital books?
I report briefly on some of my own work in each of these areas and elucidate some of the questions that this research has raised. Then I propose as a research agenda the developme...
Nina Wacholder
WWW
2002
ACM
14 years 8 months ago
A machine learning based approach for table detection on the web
Table is a commonly used presentation scheme, especially for describing relational information. However, table understanding remains an open problem. In this paper, we consider th...
Yalin Wang, Jianying Hu