Data Set Used
In this paper we discuss the relationship between TimeML, a rich specification language for event and temporal expressions in text, and the interpretation of these expressions in a temporal semantics. Specifically, we propose to demonstrate how a TimeML markup of text is interpreted within the DAML-Time Ontology and time framework of Hobbs (2002). We… (More)
This paper presents a metaphor interpretation pipeline based on abductive inference. In this framework following (Hobbs, 1992) metaphor interpretation is modelled as a part of the general discourse processing problem, such that the overall discourse coherence is supported. We present an experimental evaluation of the proposed approach using linguistic data… (More)
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Abduction allows us to model interpretation of discourse as the explanation of observables, given additional knowledge about the world. In an abductive framework , many explanations can be constructed for the same observation, requiring an approach to estimate the likelihood of these alternative explanations. We show that, for discourse interpretation,… (More)
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason over the model. Natural Language Processing advances in syntax and semantics have made it possible to extract a limited form of meaning from sentences. Knowledge Representation… (More)
(specialization: software engineering-master thesis in the domain of machine learning, advisor: Maurice Bruynooghe).
Introduction Characteristic to all areas of human activity (from poetic to ordinary to scientific) and, thus, to all types of discourse, metaphor becomes an important problem for natural language processing. Its ubiquity in language has been established in a number of corpus studies and the role it plays in human reasoning has been confirmed in… (More)