This paper proposes a framework for representing the meaning of phrases and sentences in vector space. Central to our approach is vector composition which we operationalize in ter...
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
Recent work in lexical resource construction has recognized the importance of contextualizing the knowledge in existing resources and ontologies with information derived from text...
Anna Rumshisky, Patrick Hanks, Catherine Havasi, J...
er.sagepub.com/cgi/content/abstract/16/2/121 The online version of this article can be found at: Published by: http://www.sagepublications.com can be found at:Concurrent Engineerin...