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» Word Importance Discrimination Using Context Information
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IJCNLP
2005
Springer
15 years 3 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
ICASSP
2011
IEEE
14 years 1 months ago
Role of nucleus based context in word-independent syllable stress classification
An acoustic-phonetics based word-independent technique which uses syllable context for classifying the lexical syllable stress of spoken English words is presented. Nucleus based ...
Harish Doddala, Om Deshmukh, Ashish Verma
87
Voted
LREC
2010
272views Education» more  LREC 2010»
14 years 11 months ago
Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
Textual information is an important communication medium contained rich expression of emotion, and emotion recognition on text has wide applications. Word emotion analysis is fund...
Changqin Quan, Fuji Ren
EUROSSC
2010
Springer
14 years 7 months ago
Identifying Important Action Primitives for High Level Activity Recognition
Smart homes have a user centered design that makes human activity as the most important type of context to adapt the environment according to people's needs. Sensor systems th...
Atif Manzoor, Claudia Villalonga, Alberto Calatron...
CONTEXT
1999
Springer
15 years 2 months ago
Contexts, Domains, and Software
We survey some issues that relate to context dependence and context sensitivity in the development of software, particularly in relation to information systems by defining a range...
Alfs T. Berztiss