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Back to the future: a logical framework for temporal information representation and inferencing from financial news. (2003)
Conference Proceeding
HUANG, Z., WONG, K.-F., LI, W., SONG, D. and BRUZA, P. 2003. Back to the future: a logical framework for temporal information representation and inferencing from financial news. In Zong, C. (ed.) Proceedings of the 2003 International conference on natural language processing and knowledge engineering (NLP-KE 2003), 26-29 October 2003, Beijing, China. New York: IEEE [online], article number 1275875, pages 95-101. Available from: https://doi.org/10.1109/NLPKE.2003.1275875

Temporal information carries information about changes and time of the changes. Consider a company investing in another company. The former may choose to inject the money gradually with the amount and frequency depending on the performance of the lat... Read More about Back to the future: a logical framework for temporal information representation and inferencing from financial news..

Classifying document titles based on information inference. (2003)
Conference Proceeding
SONG, D., BRUZA, P., HUANG, Z. and LAU, R.Y.K. 2003. Classifying document titles based on information inference. In Zhong, N., Ras, Z.W., Tsumoto, S. and Suzuki, E. (eds.) Foundations of intelligent systems: proceedings of the 14th International symposium on methodologies for intelligent systems (ISMIS 2003), 28-31 October 2003, Maebashi City, Japan. Lecture notes in computer science, 2871. Berlin: Springer [online], pages 297-306. Available from: https://doi.org/10.1007/978-3-540-39592-8_41

We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitively motivated model, namely Hyperspace Analogue to Language (HAL). A co... Read More about Classifying document titles based on information inference..

A comparison of various approaches for using probabilistic dependencies in language modeling. (2003)
Presentation / Conference
BRUZA, P. and SONG, D. 2003. A comparison of various approaches for using probabilistic dependencies in language modeling. In Proceedings of the 26th Annual international Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) conference on research and development in information retrieval (SIGIR'03), 28 July - 1 August 2003, Toronto, Canada. New York: ACM [online], pages 419-420. Available from: https://doi.org/10.1145/860435.860530

The goals of this article is to study several estimates of relevance models which will be computed based on differing approaches for incorporating term dependency information. In this way, we hope to shed light on the relative merits of term dependen... Read More about A comparison of various approaches for using probabilistic dependencies in language modeling..

Towards context-sensitive information inference. (2003)
Journal Article
SONG, D. and BRUZA, P.D. 2003. Towards context-sensitive information inference. Journal of the Association for Information Science and Technology [online], 54(4), pages 321-334. Available from: https://doi.org/10.1002/asi.10213

Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. By drawing on theories from non-classical logic and applied cognition, an information inference... Read More about Towards context-sensitive information inference..