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Joint learning of morphology and syntax with cross-level contextual information flow
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In: 2022 ; 1 ; 33 (2022)
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Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation
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Tree structured Dirichlet processes for hierarchical morphological segmentation
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In: 44 ; 2 ; 349 ; 374 (2018)
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Grounding proposition stores for question answering over linked data
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Methods and algorithms for unsupervised learning of morphology
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In: 8403 ; 177 ; 205 (2014)
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Probabilistic Hierarchical Clustering Of Morphological Paradigms
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Relational extensions to feature logic: applications to constraint based grammars
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Abstract:
This thesis investigates the logical and computational foundations of unification-based or more appropriately constraint based grammars. The thesis explores extensions to feature logics (which provide the basic knowledge representation services to constraint based grammars) with multi-valued or relational features. These extensions are useful for knowledge representation tasks that cannot be expressed within current feature logics. ; The approach bridges the gap between concept languages (such as KL-ONE), which are the mainstay of knowledge representation languages in AI, and feature logics. Va¬ rious constraints on relational attributes are considered such as existential membership, universal membership, set descriptions, transitive relations and linear precedence con¬ straints. ; The specific contributions of this thesis can be summarised as follows: 1. Development of an integrated feature/concept logic 2. Development of a constraint logic for so called partial set descriptions 3. Development of a constraint logic for expressing linear precedence constraints 4. The design of a constraint language CL-ONE that incorporates the central ideas provided by the above study 5. A study of the application of CL-ONE for constraint based grammars ; The thesis takes into account current insights in the areas of constraint logic programming, object-oriented languages, computational linguistics and knowledge representation.
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URL: http://hdl.handle.net/1842/35131
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