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» SUMMaR: Combining Linguistics and Statistics for Text Summar...
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WWW
2008
ACM
14 years 9 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
COLING
2010
13 years 3 months ago
Fast-Champollion: A Fast and Robust Sentence Alignment Algorithm
Sentence-level aligned parallel texts are important resources for a number of natural language processing (NLP) tasks and applications such as statistical machine translation and ...
Peng Li, Maosong Sun, Ping Xue
SIGIR
1995
ACM
14 years 3 days ago
A Trainable Document Summarizer
To summarize is to reducein complexity, and hencein length, while retaining some of the essential qualities of the original. This paper focusses on document extracts, a particular...
Julian Kupiec, Jan O. Pedersen, Francine Chen
ACL
2012
11 years 11 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
LREC
2010
227views Education» more  LREC 2010»
13 years 10 months ago
Discovering Polarity for Ambiguous and Objective Adjectives through Adverbial Modification
The field of opinion mining has emerged in recent years as an exciting challenge for computational linguistics: investigating how humans express subjective judgments through lingu...
Irene Russo