Sökning: "data dependency graph"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden data dependency graph.
1. Contributions to Semantic Dependency Parsing : Search, Learning, and Application
Sammanfattning : Semantic dependency parsing is the task of mapping natural language sentences into representations of their meaning in the form of directed graphs on words. These bilexical graphs are designed to capture the sentence-internal predicate-argument relationships – they tell us “who did what to whom” in the given sentence. LÄS MER
2. On practical machine learning and data analysis
Sammanfattning : This thesis discusses and addresses some of the difficulties associated with practical machine learning and data analysis. Introducing data driven meth- ods in e. g. industrial and business applications can lead to large gains in productivity and efficiency, but the cost and complexity are often overwhelm- ing. LÄS MER
3. Inductive Dependency Parsing of Natural Language Text
Sammanfattning : This thesis investigates new methods for syntactic parsing of unrestricted natural language text under requirements of robustness and disambiguation. A parsing system is required to assign to every sentence in a text at least one analysis (robustness) and at most one analysis (disambiguation). LÄS MER
4. Transition-Based Natural Language Parsing with Dependency and Constituency Representations
Sammanfattning : Denna doktorsavhandling undersöker olika aspekter av automatisk syntaktisk analys av texter på naturligt språk. En parser eller syntaktisk analysator, som vi definierar den i denna avhandling, har till uppgift att skapa en syntaktisk analys för varje mening i en text på naturligt språk. LÄS MER
5. Automatic Parallelization of Simulation Code from Equation Based Simulation Languages
Sammanfattning : Modern state-of-the-art equation based object oriented modeling languages such as Modelica have enabled easy modeling of large and complex physical systems. When such complex models are to be simulated, simulation tools typically perform a number of optimizations on the underlying set of equations in the modeled system, with the goal of gaining better simulation performance by decreasing the equation system size and complexity. LÄS MER