Thesis
Deep neural open information extraction with background knowledge
- Abstract:
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Natural language text, which exists in unstructured format, has a vast amount of knowledge about the world we live in. With the ever-increasing volume of natural language literature, it has become an incredibly time consuming effort to analyse text and extract important knowledge buried within it. This has resulted in the emergence of information extraction (IE) and natural language processing (NLP) methodologies and tools. IE focuses on the automatic extraction of structured semantic inf...
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- Files:
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(Preview, Dissemination version, pdf, 1.0MB, Terms of use)
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Authors
Contributors
+ Lukasiewicz, T
- Role:
- Supervisor
- ORCID:
- 0000-0002-7644-1668
+ Blunsom, P
- Role:
- Examiner
- ORCID:
- 0000-0003-4558-2457
+ Collier, N
- Institution:
- University of Cambridge
- Role:
- Examiner
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Deposit date:
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2022-09-23
- ARK identifier:
Terms of use
- Copyright holder:
- Mtumbuka, F
- Copyright date:
- 2022
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