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COLING
2008
15 years 8 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport
LREC
2010
164views Education» more  LREC 2010»
15 years 8 months ago
Semantic Feature Engineering for Enhancing Disambiguation Performance in Deep Linguistic Processing
The task of parse disambiguation has gained in importance over the last decade as the complexity of grammars used in deep linguistic processing has been increasing. In this paper ...
Danielle Ben-Gera, Yi Zhang 0003, Valia Kordoni
150
Voted
EMNLP
2008
15 years 8 months ago
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
In this paper, we present a novel method based on CRFs in response to the two special characteristics of "contextual dependency" and "label redundancy" in sent...
Jun Zhao, Kang Liu, Gen Wang
NIPS
2001
15 years 8 months ago
Learning Lateral Interactions for Feature Binding and Sensory Segmentation
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
Heiko Wersing
JMLR
2008
83views more  JMLR 2008»
15 years 6 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby