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ACL
1998
13 years 9 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
ACL
2010
13 years 5 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
CLEF
2006
Springer
13 years 11 months ago
CLEF 2006: Ad Hoc Track Overview
We describe the objectives and organization of the CLEF 2006 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual, bilingual, and multilingual...
Giorgio Maria Di Nunzio, Nicola Ferro, Thomas Mand...
AROBOTS
2011
13 years 2 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...