Sökning: "semantic space"
Visar resultat 1 - 5 av 52 avhandlingar innehållade orden semantic space.
1. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records
Sammanfattning : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. LÄS MER
2. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare
Sammanfattning : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. LÄS MER
3. Functional understanding of space : Representing spatial knowledge using concepts grounded in an agent's purpose
Sammanfattning : This thesis examines the role of function in representations of space by robots - that is, dealing directly and explicitly with those aspects of space and objects in space that serve some purpose for the robot. It is suggested that taking function into account helps increase the generality and robustness of solutions in an unpredictable and complex world, and the suggestion is affirmed by several instantiations of functionally conceived spatial models. LÄS MER
4. Verbs of Motion with Directional Prepositions and Prefixes in Xenophon's Anabasis
Sammanfattning : The thesis compares different prepositions and verbal prefixes denoting direction in Ancient Greek. The corpus covers passages in Xenophon’s Anabasis where such directional elements are used. LÄS MER
5. The Word-Space Model : Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces
Sammanfattning : The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terms of spatial proximity. The model has been used for over a decade, and has demonstrated its mettle in numerous experiments and applications. LÄS MER