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ACL
2011
14 years 3 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
WEBDB
2009
Springer
159views Database» more  WEBDB 2009»
15 years 6 months ago
Beyond the Stars: Improving Rating Predictions using Review Text Content
Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most revi...
Gayatree Ganu, Noemie Elhadad, Amélie Maria...
AIRS
2008
Springer
15 years 6 months ago
Topic Tracking Based on Keywords Dependency Profile
Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “knownâ...
Wei Zheng, Yu Zhang, Yu Hong, Jili Fan, Ting Liu
HPCA
2003
IEEE
16 years 5 days ago
Dynamic Data Dependence Tracking and its Application to Branch Prediction
To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundament...
Lei Chen, Steve Dropsho, David H. Albonesi
CAMAD
2006
IEEE
15 years 3 months ago
Improving quality of service for switched processing systems
Switched Processing Systems (SPS) capture the essence of a fundamental resource allocation problem in many modern communication, computer and manufacturing systems involving hetero...
Ying-Chao Hung, George Michailidis