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ALT
2008
Springer
16 years 3 months ago
Learning with Temporary Memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
Steffen Lange, Samuel E. Moelius, Sandra Zilles
205
Voted
COLING
1990
15 years 8 months ago
Solving Ambiguities In The Semantic Representation Of Texts
One of the issues of Artificial Intelligence is the transfer of the knowledge conveyed by Natural Language into formalisms that a computer can interpret. In the Natural Language P...
Marie-Claude Landau
ENTCS
2007
98views more  ENTCS 2007»
15 years 6 months ago
Frameworks Based on Templates for Rigorous Model-driven Development
The engineering of systems that are acceptably correct is a hard problem. On the one hand, semi-formal modelling approaches that are used in practical, large-scale system developm...
Nuno Amálio, Fiona Polack, Susan Stepney
CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 6 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
FM
2005
Springer
99views Formal Methods» more  FM 2005»
16 years 11 days ago
Semantics of BPEL4WS-Like Fault and Compensation Handling
BPEL4WS is one of the most important business process modelling languages. One distinct feature of it is the fully programmable fault and compensation handling mechanism, which all...
Zongyan Qiu, Shuling Wang, Geguang Pu, Xiangpeng Z...