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» Training a Natural Language Generator From Unaligned Data
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EMNLP
2006
15 years 22 days ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
CICLING
2009
Springer
15 years 12 months ago
Business Specific Online Information Extraction from German Websites
This paper presents a system that uses the domain name of a German business website to locate its information pages (e.g. company profile, contact page, imprint) and then identifi...
Yeong Su Lee, Michaela Geierhos
ACL
2010
14 years 9 months ago
Learning 5000 Relational Extractors
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
Raphael Hoffmann, Congle Zhang, Daniel S. Weld
EACL
2010
ACL Anthology
14 years 9 months ago
Generating Referring Expressions in Context: The GREC Task Evaluation Challenges
Until recently, referring expression generation (reg) research focused on the task of selecting the semantic content of definite mentions of listener-familiar discourse entities. I...
Anja Belz, Eric Kow, Jette Viethen, Albert Gatt
EACL
1993
ACL Anthology
15 years 20 days ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod