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» SUMMaR: Combining Linguistics and Statistics for Text Summar...
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FLAIRS
2007
13 years 8 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
CIKM
2006
Springer
13 years 9 months ago
Combining feature selectors for text classification
We introduce several methods of combining feature selectors for text classification. Results from a large investigation of these combinations are summarized. Easily constructed co...
J. Scott Olsson, Douglas W. Oard
EMNLP
2010
13 years 4 months ago
Incorporating Content Structure into Text Analysis Applications
In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...
Christina Sauper, Aria Haghighi, Regina Barzilay
SIGIR
2004
ACM
13 years 11 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
ANLP
2000
140views more  ANLP 2000»
13 years 7 months ago
Sentence Reduction for Automatic Text Summarization
We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system ...
Hongyan Jing