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CORR
2002
Springer
118views Education» more  CORR 2002»
13 years 5 months ago
Unsupervised discovery of morphologically related words based on orthographic and semantic similarity
We present an algorithm that takes an unannotated corpus as its input, and returns a ranked list of probable morphologically related pairs as its output. The algorithm tries to di...
Marco Baroni, Johannes Matiasek, Harald Trost
CIKM
2008
Springer
13 years 7 months ago
Identification of class specific discourse patterns
In this paper we address the problem of extracting important (and unimportant) discourse patterns from call center conversations. Call centers provide dialog based calling-in supp...
Anup Chalamalla, Sumit Negi, L. Venkata Subramania...
ICML
2008
IEEE
14 years 6 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
FLAIRS
2001
13 years 6 months ago
Automatic Discovery of Linguistic Patterns for Information Extraction
InformationExtraction (IE) systemstypically rely onextraction patterns encoding domain-specific knowledge. Whenmatched against natural languagetexts, these patterns recognize with...
Sanda M. Harabagiu, Mihai Surdeanu, Paul Morarescu
PAKDD
2001
ACM
157views Data Mining» more  PAKDD 2001»
13 years 9 months ago
Applying Pattern Mining to Web Information Extraction
Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to so...
Chia-Hui Chang, Shao-Chen Lui, Yen-Chin Wu