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EMNLP
2011
14 years 6 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
COOPIS
2004
IEEE
15 years 10 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
CSCW
2012
ACM
14 years 2 months ago
Phrases that signal workplace hierarchy
Hierarchy fundamentally shapes how we act at work. In this paper, we explore the relationship between the words people write in workplace email and the rank of the email’s recip...
Eric Gilbert
ACL
2012
13 years 9 months ago
A Comparison of Chinese Parsers for Stanford Dependencies
Stanford dependencies are widely used in natural language processing as a semanticallyoriented representation, commonly generated either by (i) converting the output of a constitu...
Wanxiang Che, Valentin I. Spitkovsky, Ting Liu
AAAI
2012
13 years 9 months ago
Fine-Grained Entity Recognition
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
Xiao Ling, Daniel S. Weld