Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Bayesian learning of probabilistic language models
Bayesian learning of probabilistic language models
Maintaining knowledge about temporal intervals
Communications of the ACM
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Recovering coherent intepretations using semantic integration of partial parses
ROMAND '04 Proceedings of the 3rd Workshop on RObust Methods in Analysis of Natural Language Data
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This paper describes our ongoing work in and thoughts on developing a grammar learning system based on a construction grammar formalism. Necessary modules are presented and first results and challenges in formalizing the grammar are shown up. Furthermore, we point out the major reasons why we chose construction grammar as the most fitting formalism for our purposes. Then our approach and ideas of learning new linguistic phenomena, ranging from holophrastic constructions to compositional ones, is presented.