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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 2 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SEMWEB
2010
Springer
14 years 11 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
119
Voted
CIMCA
2006
IEEE
15 years 3 months ago
Identification of Document Language is Not yet a Completely Solved Problem
Existing Language Identification (LID) approaches do reach 100% precision, in most common situations, when dealing with documents written in just one language, and when those docu...
Joaquim Ferreira da Silva, Gabriel Pereira Lopes
108
Voted
IM
2007
15 years 3 months ago
Issues in Designing a Policy Language for Distributed Management of IT Infrastructures
— The objectives of this paper are twofold. First, we introduce a novel policy language, called CIM-SPL (Simple Policy Language for CIM) that complies with the CIM (Common Inform...
Dakshi Agrawal, Seraphin B. Calo, Kang-Won Lee, Jo...
EMNLP
2010
14 years 12 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie