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» Learning Language Semantics from Ambiguous Supervision
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EMNLP
2007
13 years 8 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder
COLING
1990
13 years 8 months ago
Reading Distinction in MT
In any system for Natural Language Processing having a dictionary, the question arises as to whiclh entries are included in it. In this paper, I address the subquestion as to whet...
Pius ten Hacken
CORR
1999
Springer
118views Education» more  CORR 1999»
13 years 7 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa
OOPSLA
2007
Springer
14 years 1 months ago
A rewriting approach to the design and evolution of object-oriented languages
Abstract. Object-oriented language concepts have been highly successful, resulting in a large number of object-oriented languages and language extensions. Unfortunately, formal met...
Mark Hills, Grigore Rosu
ACL
2006
13 years 8 months ago
Robust Word Sense Translation by EM Learning of Frame Semantics
We propose a robust method of automatically constructing a bilingual word sense dictionary from readily available monolingual ontologies by using estimation-maximization, without ...
Pascale Fung, Benfeng Chen