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FINTAL
2006
14 years 9 days ago
Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
Zornitsa Kozareva, Andrés Montoyo
AND
2010
13 years 6 months ago
Statement map: reducing web information credibility noise through opinion classification
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
EMNLP
2009
13 years 6 months ago
Simple Coreference Resolution with Rich Syntactic and Semantic Features
Coreference systems are driven by syntactic, semantic, and discourse constraints. We present a simple approach which completely modularizes these three aspects. In contrast to muc...
Aria Haghighi, Dan Klein
MODELS
2009
Springer
14 years 3 months ago
Towards Semantic Modeling of Network Physical Devices
One of the challenges faced by network management systems is the increasing need for consistent management of physical network equipment. We propose a solution where equipment is m...
Krzysztof Miksa, Marek Kasztelnik, Pawel Sabina, T...
EACL
1993
ACL Anthology
13 years 10 months ago
Rule-based Acquisition and Maintenance of Lexical and Semantic Knowledge
The lexicons for Knowledge-Based Machine Translation systems require knowledge intensive morphological, syntactic and semantic information. This information is often used in diffe...
Donna Gates, Peter Shell