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» Information Extraction and Semantic Constraints
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MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 11 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
CIKM
2008
Springer
15 years 8 months ago
A system for finding biological entities that satisfy certain conditions from texts
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Wei Zhou, Clement T. Yu, Weiyi Meng
ACL
2010
15 years 4 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
APWEB
2011
Springer
15 years 1 months ago
Assisting the Design of XML Schema: Diagnosing Nondeterministic Content Models
One difficulty in the design of XML Schema is the restriction that the content models should be deterministic, i. e., the Unique Particle Attribution (UPA) constraint, which means ...
Haiming Chen, Ping Lu
EPIA
2007
Springer
16 years 10 days ago
Two Puzzles Concerning Measures of Uncertainty and the Positive Boolean Connectives
Abstract. The two puzzles are the Lottery Paradox and the Amalgamation Paradox, which both point out difficulties for aggregating uncertain information. A generalization of the lot...
Gregory R. Wheeler