Croppie: AI-powered information extraction from natural language
This report addresses the fundamental challenge of extracting key fields from natural language text in the context of natural language processing (NLP). Focusing on Spanish text, our solution, integrated into Croppie, offers an efficient and precise method for extracting essential information. Empha...
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/10568/138685 |
| _version_ | 1855525041853169664 |
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| author | García-Acosta, Sebastian |
| author_browse | García-Acosta, Sebastian |
| author_facet | García-Acosta, Sebastian |
| author_sort | García-Acosta, Sebastian |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This report addresses the fundamental challenge of extracting key fields from natural language text in the context of natural language processing (NLP). Focusing on Spanish text, our solution, integrated into Croppie, offers an efficient and precise method for extracting essential information. Emphasizing robustness to colloquial expressions and grammatical errors, the report discusses implementation alternatives and presents the implemented solution, with the code available on our GitHub repository. This functionality is crucial for automated decision-making by enhancing the understanding of context in natural language conversations. |
| format | Informe técnico |
| id | CGSpace138685 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1386852025-11-05T11:40:08Z Croppie: AI-powered information extraction from natural language García-Acosta, Sebastian artificial intelligence inteligencia artificial chatbot This report addresses the fundamental challenge of extracting key fields from natural language text in the context of natural language processing (NLP). Focusing on Spanish text, our solution, integrated into Croppie, offers an efficient and precise method for extracting essential information. Emphasizing robustness to colloquial expressions and grammatical errors, the report discusses implementation alternatives and presents the implemented solution, with the code available on our GitHub repository. This functionality is crucial for automated decision-making by enhancing the understanding of context in natural language conversations. 2024-01 2024-01-30T10:36:05Z 2024-01-30T10:36:05Z Report https://hdl.handle.net/10568/138685 en Open Access application/pdf García-Acosta, S. (2024) Croppie: AI-powered information extraction from natural language. 17 p. |
| spellingShingle | artificial intelligence inteligencia artificial chatbot García-Acosta, Sebastian Croppie: AI-powered information extraction from natural language |
| title | Croppie: AI-powered information extraction from natural language |
| title_full | Croppie: AI-powered information extraction from natural language |
| title_fullStr | Croppie: AI-powered information extraction from natural language |
| title_full_unstemmed | Croppie: AI-powered information extraction from natural language |
| title_short | Croppie: AI-powered information extraction from natural language |
| title_sort | croppie ai powered information extraction from natural language |
| topic | artificial intelligence inteligencia artificial chatbot |
| url | https://hdl.handle.net/10568/138685 |
| work_keys_str_mv | AT garciaacostasebastian croppieaipoweredinformationextractionfromnaturallanguage |