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» Word Importance Discrimination Using Context Information
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ACL
2007
13 years 7 months ago
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
The increasing complexity of summarization systems makes it difficult to analyze exactly which modules make a difference in performance. We carried out a principled comparison be...
Surabhi Gupta, Ani Nenkova, Daniel Jurafsky
CHI
2009
ACM
14 years 6 months ago
It's not that important: demoting personal information of low subjective importance using GrayArea
Users find it hard to delete unimportant personal information which often results in cluttered workspaces. We present a full design cycle for GrayArea, a novel interface that allo...
Ofer Bergman, Simon Tucker, Ruth Beyth-Marom, Edwa...
ICCV
2011
IEEE
12 years 5 months ago
Visual Word Disambiguation by Semantic Contexts
This paper presents a novel schema to address the polysemy of visual words in the widely used bag-of-words model. As a visual word may have multiple meanings, we show it is possib...
Yu Su, Frederic Jurie
TASLP
2002
124views more  TASLP 2002»
13 years 5 months ago
Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech informatio
With the rapidly growing use of the audio and multimedia information over the Internet, the technology for retrieving speech information using voice queries is becoming more and mo...
Berlin Chen, Hsin-Min Wang, Lin-Shan Lee
FLAIRS
2006
13 years 7 months ago
Using Web Searches on Important Words to Create Background Sets for LSI Classification
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
Sarah Zelikovitz, Marina Kogan