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COLING
2010
10 years 8 months ago
Discriminant Ranking for Efficient Treebanking
Treebank annotation is a labor-intensive and time-consuming task. In this paper, we show that a simple statistical ranking model can significantly improve treebanking efficiency b...
Yi Zhang 0003, Valia Kordoni
ICPR
2010
IEEE
10 years 11 months ago
Ranking Model for Facial Age Estimation
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
Peng Yang, Lin Zhong, Dimitris N. Metaxas
EMNLP
2010
10 years 11 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang
AIRS
2010
Springer
10 years 11 months ago
Learning to Rank with Supplementary Data
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
Wenkui Ding, Tao Qin, Xu-Dong Zhang
NAACL
2007
11 years 2 months ago
Multiple Aspect Ranking Using the Good Grief Algorithm
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
Benjamin Snyder, Regina Barzilay
NIPS
2008
11 years 2 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ICMCS
2007
IEEE
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11 years 7 months ago
Highlight Ranking for Racquet Sports Video in User Attention Subspaces Based on Relevance Feedback
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...
WWW
2008
ACM
12 years 2 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CVPR
2008
IEEE
12 years 3 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
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