Sökning: "Marco Kuhlmann"
Hittade 5 avhandlingar innehållade orden Marco Kuhlmann.
1. Word Vector Representations using Shallow Neural Networks
Sammanfattning : This work highlights some important factors for consideration when developing word vector representations and data-driven conversational systems. The neural network methods for creating word embeddings have gained more prominence than their older, count-based counterparts. LÄS MER
2. Completion of Ontologies and Ontology Networks
Sammanfattning : The World Wide Web contains large amounts of data, and in most cases this data has no explicit structure. The lack of structure makes it difficult for automated agents to understand and use such data. A step towards a more structured World Wide Web is the Semantic Web, which aims at introducing semantics to data on the World Wide Web. LÄS MER
3. Towards semantic language processing
Sammanfattning : The overall goal of the field of natural language processing is to facilitate the communication between humans and computers, and to help humans with natural language problems such as translation. In this thesis, we focus on semantic language processing. LÄS MER
4. 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
5. Scalable and Efficient Probabilistic Topic Model Inference for Textual Data
Sammanfattning : Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. LÄS MER