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ACL
2011
14 years 10 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
191
Voted
SAC
2008
ACM
15 years 6 months ago
Aggregation languages for moving object and places of interest
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
SIGIR
2009
ACM
16 years 1 months ago
CompositeMap: a novel framework for music similarity measure
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wa...
196
Voted
CIKM
2010
Springer
15 years 5 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
168
Voted
WWW
2010
ACM
16 years 1 months ago
Identifying spam link generators for monitoring emerging web spam
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...