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SIGIR
2008
ACM
13 years 4 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
SAMT
2007
Springer
133views Multimedia» more  SAMT 2007»
13 years 11 months ago
Semantic Video Classification Based on Subtitles and Domain Terminologies
In this paper we explore an unsupervised approach to classify video content by analyzing the corresponding subtitles. The proposed method is based on the WordNet lexical database a...
Polyxeni Katsiouli, Vassileios Tsetsos, Stathes Ha...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
13 years 2 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
ICML
2008
IEEE
14 years 5 months ago
Semi-supervised learning of compact document representations with deep networks
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
Marc'Aurelio Ranzato, Martin Szummer
ICCS
2007
Springer
13 years 11 months ago
Using WordNet to Disambiguate Word Senses for Text Classification
In this paper, we propose an automatic text classification method based on word sense disambiguation. We use “hood” algorithm to remove the word ambiguity so that each word is ...
Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan ...