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» Improving Language Models by Clustering Training Sentences
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EMNLP
2009
13 years 7 months ago
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
Jingjing Liu, Stephanie Seneff
ACL
2008
13 years 10 months ago
Learning Bigrams from Unigrams
Traditional wisdom holds that once documents are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisi...
Xiaojin Zhu, Andrew B. Goldberg, Michael Rabbat, R...
SLSFS
2005
Springer
14 years 2 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
ACL
2007
13 years 10 months ago
Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora
Current phrase-based SMT systems perform poorly when using small training sets. This is a consequence of unreliable translation estimates and low coverage over source and target p...
Trevor Cohn, Mirella Lapata
ACL
1998
13 years 10 months ago
An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars
We present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (...
Rebecca Hwa