At the heart of natural language processing is the understanding of context dependent meanings This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to show the use of contexts in lifting, i.e., how propositions holding in a particular context transform when they are moved to another context. This is useful in NLP applications where preserving meaning is a desideratum
We focus on how we should define the relevance of information to a context for information processin...
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose...
In previous work, we have defined conceptual foundations that can be beneficially used in context mo...
At the heart of natural language processing is the understanding of context dependent meanings. This...
The issue of context arises in assorted areas of Artificial Intelligence. Although its importance is...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
An information-based approach to natural language semantics. Formulated by Jon Barwise and John Perr...
Situation theory has been developed over the last decade and various versions of the theory have bee...
Context is the challenge for the coming years in artificial intelligence. In the companion paper [8]...
This paper is a survey of the techniques used to take into account the influence of situation in Nat...
Context is a core notion of linguistic theory. However, while there are numerous attempts at explain...
About the book: The First International and Interdisciplinary Conference on Modelling and Using Cont...
We discuss the problems of developing a theory of context that applies to the phenomena of naturally...
The notion of context has been called to account for a wide range of linguistic and cognitive phenom...
We focus on how we should define the relevance of information to a context for information processin...
We focus on how we should define the relevance of information to a context for information processin...
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose...
In previous work, we have defined conceptual foundations that can be beneficially used in context mo...
At the heart of natural language processing is the understanding of context dependent meanings. This...
The issue of context arises in assorted areas of Artificial Intelligence. Although its importance is...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
An information-based approach to natural language semantics. Formulated by Jon Barwise and John Perr...
Situation theory has been developed over the last decade and various versions of the theory have bee...
Context is the challenge for the coming years in artificial intelligence. In the companion paper [8]...
This paper is a survey of the techniques used to take into account the influence of situation in Nat...
Context is a core notion of linguistic theory. However, while there are numerous attempts at explain...
About the book: The First International and Interdisciplinary Conference on Modelling and Using Cont...
We discuss the problems of developing a theory of context that applies to the phenomena of naturally...
The notion of context has been called to account for a wide range of linguistic and cognitive phenom...
We focus on how we should define the relevance of information to a context for information processin...
We focus on how we should define the relevance of information to a context for information processin...
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose...
In previous work, we have defined conceptual foundations that can be beneficially used in context mo...