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» A Trainable Document Summarizer
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LREC
2010
189views Education» more  LREC 2010»
13 years 9 months ago
Automatic Summarization Using Terminological and Semantic Resources
In this paper we present a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The te...
Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres M...
ICTAI
2008
IEEE
14 years 2 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
COLING
2002
13 years 7 months ago
Annotation-Based Multimedia Summarization and Translation
This paper presents techniques for multimedia annotation and their application to video summarization and translation. Our tool for annotation allows users to easily create annota...
Katashi Nagao, Shigeki Ohira, Mitsuhiro Yoneoka
DRR
2009
13 years 5 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
AAAI
2000
13 years 9 months ago
Statistics-Based Summarization - Step One: Sentence Compression
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one...
Kevin Knight, Daniel Marcu