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» Using Generation for Grammar Analysis and Error Detection
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COLING
2002
14 years 9 months ago
Data-driven Classification of Linguistic Styles in Spoken Dialogues
Language users have individual linguistic styles. A spoken dialogue system may benefit from adapting to the linguistic style of a user in input analysis and output generation. To ...
Thomas Portele
EDCC
2006
Springer
15 years 1 months ago
Automatically Finding and Patching Bad Error Handling
Bad error handling is the cause of many service outages. We address this problem by a novel approach to detect and patch bad error handling automatically. Our approach uses error ...
Martin Süßkraut, Christof Fetzer
ACCV
2006
Springer
15 years 1 months ago
Complex Activity Representation and Recognition by Extended Stochastic Grammar
Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
SIGIR
2008
ACM
14 years 9 months ago
Named entity normalization in user generated content
Named entity recognition is important for semantically oriented retrieval tasks, such as question answering, entity retrieval, biomedical retrieval, trend detection, and event and...
Valentin Jijkoun, Mahboob Alam Khalid, Maarten Mar...
WIAMIS
2009
IEEE
15 years 4 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...