As a lexical knowledge base constructed automatically from the definitions and example sentences in two machine-readable dictionaries (MRDs), MindNet embodies several features tha...
Stephen D. Richardson, William B. Dolan, Lucy Vand...
This paper presents a method that conbines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to...
A model for reference use in communication is proposed, from a representationist point of view. Both the sender and the receiver of a message handle representations of their commo...
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
The paper argues that language change can be explained through the stochasticity observed in real-world natural language use. This thesis is demonstrated by modeling language use ...