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CIKM
2008
Springer
14 years 11 months ago
Mapping enterprise entities to text segments
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
Falk Brauer, Alexander Löser, Hong-Hai Do
NAACL
2004
14 years 11 months ago
The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
Mirella Lapata, Frank Keller
ACL
1993
14 years 11 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
COLING
2002
14 years 9 months ago
A New Probabilistic Model for Title Generation
Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title gene...
Rong Jin, Alexander G. Hauptmann
IEAAIE
2004
Springer
15 years 3 months ago
Natural Language Requirements Analysis and Class Model Generation Using UCDA
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Dong Liu, Kalaivani Subramaniam, Armin Eberlein, B...