ASKNet : automatically creating semantic knowledge networks from natural language text
نویسنده
چکیده
To Sophie: You are the love of my life and have made me happier than I ever thought possible. You mean everything to me. I want to spend the rest of my life with you. Will you marry me? Acknowledgements I would like to thank my supervisor Stephen Clark for his continued support throughout my time at Oxford. It was his assistance and guidance that made this thesis possible. I would also like to thank my family, especially my parents who have always provided me with moral (not to mention financial) support. Finally, I would like to thank Sophie for her role in motivating me. It is my desire to start a life with her that has pushed me through the final stages of writing this thesis and prevented me from becoming a perpetual student.
منابع مشابه
Optimising Parameters for ASKNet: A Large Scale Semantic Knowledge Network Creation System
ASKNet is a system for automatically constructing semantic knowledge networks from natural language text. ASKNet uses existing natural language processing tools to extract entities and relations from text, and then through a combination of lexical information and a novel use of spreading activation, combines that information into a large scale semantic knowledge network. The ASKNet system is la...
متن کاملASKNet: Automated Semantic Knowledge Network
The ASKNet system is an attempt to automatically generate large scale semantic knowledge networks from natural language text. State-of-the-art language processing tools, including parsers and semantic analysers, are used to turn input sentences into fragments of semantic network. These network fragments are combined using spreading activation-based algorithms which utilise both lexical and sema...
متن کاملASKNet: Automatically Generating Semantic Knowledge Networks
The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated from input sentences using a parser and semantic analyser, then these fragments are combined using spreading activation based algorithms. The ultimate goal of the project is to create a semantic resource on a scale that ...
متن کاملConceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implementation, and sketch various ways in which the representation may be deployed for conceptual knowledge acquisition. A translation to RDF establishes interoperability with a wide range of standardised tools, and bridges t...
متن کاملASKNet: Leveraging Bio-Cognitive Models in Natural Language Processing
This presentation will detail the inception, development and evaluation of ASKNet. A system which uses natural language processing tools in order to create psycholinguistically inspired, spreading activation based semantic networks from natural language texts.
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