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» Learning Language Semantics from Ambiguous Supervision
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EMNLP
2007
14 years 11 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
14 years 11 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»
14 years 9 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
15 years 3 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
14 years 11 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