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ACL
2007
15 years 7 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
EMNLP
2009
15 years 4 months ago
Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
SOSP
2007
ACM
16 years 3 months ago
MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs
Software defects significantly reduce system dependability. Among various types of software bugs, semantic and concurrency bugs are two of the most difficult to detect. This pape...
Shan Lu, Soyeon Park, Chongfeng Hu, Xiao Ma, Weiha...
CSL
2009
Springer
16 years 22 days ago
On the Relation between Sized-Types Based Termination and Semantic Labelling
We investigate the relationship between two independently developed termination techniques for rst and higher-order rewrite systems. On the one hand, sized-types based termination...
Frédéric Blanqui, Cody Roux
APSEC
2003
IEEE
15 years 9 months ago
An Analysis of Backward Simulation Data-Refinement for Partial Relation Semantics
This paper investigates data-refinement by backward simulation for specifications whose semantics is given by partial relations. The standard model-theoretic approach is based on ...
Moshe Deutsch, Martin C. Henson