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» Effective Measures of Domain Similarity for Parsing
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ACL
2011
12 years 8 months ago
Effective Measures of Domain Similarity for Parsing
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Barbara Plank, Gertjan van Noord
CIKM
2009
Springer
13 years 11 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
EMNLP
2008
13 years 6 months ago
Automatic Prediction of Parser Accuracy
Statistical parsers have become increasingly accurate, to the point where they are useful in many natural language applications. However, estimating parsing accuracy on a wide var...
Sujith Ravi, Kevin Knight, Radu Soricut
KDD
2002
ACM
197views Data Mining» more  KDD 2002»
14 years 5 months ago
SimRank: a measure of structural-context similarity
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
Glen Jeh, Jennifer Widom
ICMCS
2010
IEEE
258views Multimedia» more  ICMCS 2010»
13 years 5 months ago
A comparative study of similarity measures for content-based multimedia retrieval
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, ...
Christian Beecks, Merih Seran Uysal, Thomas Seidl