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LTCONF
2007
Springer
15 years 6 months ago
Automatically Determining Attitude Type and Force for Sentiment Analysis
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabri...
UM
2010
Springer
15 years 3 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
JMLR
2012
13 years 2 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
EMNLP
2010
14 years 9 months ago
Title Generation with Quasi-Synchronous Grammar
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...
Kristian Woodsend, Yansong Feng, Mirella Lapata
EMNLP
2011
13 years 11 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...