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» Learning Expressive Models for Word Sense Disambiguation
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JMLR
2011
192views more  JMLR 2011»
13 years 2 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
NAACL
2007
13 years 9 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
LREC
2010
179views Education» more  LREC 2010»
13 years 9 months ago
Building a Bank of Semantically Encoded Narratives
We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
David K. Elson, Kathleen McKeown
LREC
2008
76views Education» more  LREC 2008»
13 years 9 months ago
Smarty - Extendable Framework for Bilingual and Multilingual Comprehension Assistants
This paper discusses a framework for development of bilingual and multilingual comprehension assistants and presents a prototype implementation of an English-Bulgarian comprehensi...
Todor Arnaudov, Ruslan Mitkov
LREC
2010
163views Education» more  LREC 2010»
13 years 9 months ago
Meaning Representation: From Continuity to Discreteness
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...
Fabienne Venant