Little words can make a big difference for text classification
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Natural-language retrieval of images based on descriptive captions
ACM Transactions on Information Systems (TOIS)
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
MindNet: acquiring and structuring semantic information from text
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
GATE: an architecture for development of robust HLT applications
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
NLP for indexing and retrieval of captioned photographs
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Ontological inference for image and video analysis
Machine Vision and Applications
Artificial Intelligence and Law
Crime profiling for the Arabic language using computational linguistic techniques
Information Processing and Management: an International Journal
| Hi-index | 0.01 |
Current approaches in automatic text-based image indexing fail to capture semantic information that is expressed in image captions, but such indexing is important for high precision and recall in subsequent image retrieval. The indexing prototype developed in the Scene of Crime Information System project tries to go beyond keyword-based approaches and methods that extract syntactic relations from captions. The authors suggest a more effective and efficient solution: using advanced natural language processing techniques to extract relational facts consisting of a "pragmatic relation" and the entities it relates (triples of the form "argument1 RELATION argument2"). They implement this approach for indexing crime scene photographs.