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» Unsupervised Feature Selection for Text Data
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WISE
2009
Springer
15 years 11 months ago
Aggregation of Document Frequencies in Unstructured P2P Networks
Peer-to-peer (P2P) systems have been recently proposed for providing search and information retrieval facilities over distributed data sources, including web data. Terms and their ...
Robert Neumayer, Christos Doulkeridis, Kjetil N&os...
119
Voted
AI
2010
Springer
15 years 7 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
133
Voted
LREC
2008
142views Education» more  LREC 2008»
15 years 3 months ago
Corpus-Based Tools for Computer-Assisted Acquisition of Reading Abilities in Cognate Languages
This paper presents an approach to computer-assisted teaching of reading abilities using corpus data. The approach is supported by a set of tools for automatically selecting and c...
Svitlana Kurella, Serge Sharoff, Anthony Hartley
131
Voted
PRL
2010
158views more  PRL 2010»
15 years 25 days ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
110
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Summarization- and learning-based approaches to information distillation
Information distillation is the task that aims to extract relevant passages of text from massive volumes of textual and audio sources, given a query. In this paper, we investigate...
Boriska Toth, Dilek Hakkani-Tür, Sibel Yaman