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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2405.10485 |
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| _version_ | 1866909205847343104 |
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| author | Torres, Jefferson A. Peña De Piñerez, Raúl E. Gutiérrez |
| author_facet | Torres, Jefferson A. Peña De Piñerez, Raúl E. Gutiérrez |
| contents | We introduce CNER, an ensemble of capable tools for extraction of semantic relationships between named entities in Spanish language. Built upon a container-based architecture, CNER integrates different Named entity recognition and relation extraction tools with a user-friendly interface that allows users to input free text or files effortlessly, facilitating streamlined analysis. Developed as a prototype version for the Natural Language Processing (NLP) Group at Universidad del Valle, CNER serves as a practical educational resource, illustrating how machine learning techniques can effectively tackle diverse NLP tasks in Spanish. Our preliminary results reveal the promising potential of CNER in advancing the understanding and development of NLP tools, particularly within Spanish-language contexts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_10485 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CNER: A tool Classifier of Named-Entity Relationships Torres, Jefferson A. Peña De Piñerez, Raúl E. Gutiérrez Computation and Language Human-Computer Interaction We introduce CNER, an ensemble of capable tools for extraction of semantic relationships between named entities in Spanish language. Built upon a container-based architecture, CNER integrates different Named entity recognition and relation extraction tools with a user-friendly interface that allows users to input free text or files effortlessly, facilitating streamlined analysis. Developed as a prototype version for the Natural Language Processing (NLP) Group at Universidad del Valle, CNER serves as a practical educational resource, illustrating how machine learning techniques can effectively tackle diverse NLP tasks in Spanish. Our preliminary results reveal the promising potential of CNER in advancing the understanding and development of NLP tools, particularly within Spanish-language contexts. |
| title | CNER: A tool Classifier of Named-Entity Relationships |
| topic | Computation and Language Human-Computer Interaction |
| url | https://arxiv.org/abs/2405.10485 |