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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2009
13 years 5 months ago
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification
This work investigates design choices in modeling a discourse scheme for improving opinion polarity classification. For this, two diverse global inference paradigms are used: a su...
Swapna Somasundaran, Galileo Namata, Janyce Wiebe,...
EMNLP
2010
13 years 5 months ago
Using Universal Linguistic Knowledge to Guide Grammar Induction
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages. Our method uses a single set of manually-...
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Jo...
ICML
2010
IEEE
13 years 8 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay
NIPS
2001
13 years 9 months ago
Convolution Kernels for Natural Language
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Michael Collins, Nigel Duffy
EACL
2006
ACL Anthology
13 years 9 months ago
Investigating a Generic Paraphrase-Based Approach for Relation Extraction
Unsupervised paraphrase acquisition has been an active research field in recent years, but its effective coverage and performance have rarely been evaluated. We propose a generic ...
Lorenza Romano, Milen Kouylekov, Idan Szpektor, Id...