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» Training a Natural Language Generator From Unaligned Data
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ICDE
2008
IEEE
189views Database» more  ICDE 2008»
15 years 5 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
EMNLP
2009
14 years 9 months ago
Empirical Exploitation of Click Data for Task Specific Ranking
There have been increasing needs for task specific rankings in web search such as rankings for specific query segments like long queries, time-sensitive queries, navigational quer...
Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li...
COGSCI
2006
62views more  COGSCI 2006»
14 years 11 months ago
Idiomatic Syntactic Constructions and Language Learning
This article explores the influence of idiomatic syntactic constructions (i.e., constructions whose phrase structure rules violate the rules that underlie the construction of othe...
Michael P. Kaschak, Jenny R. Saffran
LREC
2008
98views Education» more  LREC 2008»
15 years 23 days ago
Deriving Rhetorical Complexity Data from the RST-DT Corpus
This paper describes a study of the levels at which different rhetorical relations occur in rhetorical structure trees. In a previous empirical study (Williams and Reiter, 2003) o...
Sandra Williams, Richard Power
82
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JUCS
2007
84views more  JUCS 2007»
14 years 11 months ago
Improving the Performance of a Tagger Generator in an Information Extraction Application
: In this paper we present an experience in the extraction of named entities from Spanish texts using stacking. Named Entity Extraction (NEE) is a subtask of Information Extraction...
José A. Troyano, Fernando Enríquez, ...