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» Large-scale extraction and use of knowledge from text
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KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 1 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
ANLP
2000
107views more  ANLP 2000»
15 years 2 months ago
Cut and Paste Based Text Summarization
We present a cut and paste based text summarizer, which uses operations derived from an analhuman written abstracts. The summarizer edits extracted sentences, using reduction to r...
Hongyan Jing, Kathleen McKeown
TREC
2004
15 years 2 months ago
Evolving XML and Dictionary Strategies for Question Answering and Novelty Tasks
CL Research participated in the question answering and novelty tracks in TREC 2004. The Knowledge Management System (KMS), which provides a single interface for question answering...
Kenneth C. Litkowski
AIEDU
2008
174views more  AIEDU 2008»
15 years 1 months ago
Automatic Extraction of Pedagogic Metadata from Learning Content
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Devshri Roy, Sudeshna Sarkar, Sujoy Ghose
TOIS
2010
128views more  TOIS 2010»
14 years 12 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...