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NIPS
2003
13 years 9 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims
ACL
2008
13 years 9 months ago
Unsupervised Translation Induction for Chinese Abbreviations using Monolingual Corpora
Chinese abbreviations are widely used in modern Chinese texts. Compared with English abbreviations (which are mostly acronyms and truncations), the formation of Chinese abbreviati...
Zhifei Li, David Yarowsky
EMNLP
2009
13 years 5 months ago
A Unified Model of Phrasal and Sentential Evidence for Information Extraction
Information Extraction (IE) systems that extract role fillers for events typically look at the local context surrounding a phrase when deciding whether to extract it. Often, howev...
Siddharth Patwardhan, Ellen Riloff
NAACL
2007
13 years 9 months ago
Entity Extraction is a Boring Solved Problem - Or is it?
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
Marc Vilain, Jennifer Su, Suzi Lubar
IR
2002
13 years 7 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan