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| Auteurs principaux: | , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2406.00682 |
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| _version_ | 1866909214809522176 |
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| author | Rakotomalala, Christiane Paillat, Jean-Marie Feder, Frédéric Avadí, Angel Thuriès, Laurent Vermeire, Marie-Liesse Médoc, Jean-Michel Wassenaar, Tom Hottelart, Caroline Kieffer, Lilou Ndjie, Elisa Picart, Mathieu Tchamgoue, Jorel Tulle, Alvin Valade, Laurine Boyer, Annie Duchamp, Marie-Christine Roche, Mathieu |
| author_facet | Rakotomalala, Christiane Paillat, Jean-Marie Feder, Frédéric Avadí, Angel Thuriès, Laurent Vermeire, Marie-Liesse Médoc, Jean-Michel Wassenaar, Tom Hottelart, Caroline Kieffer, Lilou Ndjie, Elisa Picart, Mathieu Tchamgoue, Jorel Tulle, Alvin Valade, Laurine Boyer, Annie Duchamp, Marie-Christine Roche, Mathieu |
| contents | The text mining method presented in this paper was used for annotation of terms related to biological transformation and valorization of organic residues in agriculture in low and middle-income country. Specialized lexicon was obtained through different steps: corpus and extraction of terms, annotation of extracted terms, selection of relevant terms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_00682 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries Rakotomalala, Christiane Paillat, Jean-Marie Feder, Frédéric Avadí, Angel Thuriès, Laurent Vermeire, Marie-Liesse Médoc, Jean-Michel Wassenaar, Tom Hottelart, Caroline Kieffer, Lilou Ndjie, Elisa Picart, Mathieu Tchamgoue, Jorel Tulle, Alvin Valade, Laurine Boyer, Annie Duchamp, Marie-Christine Roche, Mathieu Information Retrieval Computation and Language The text mining method presented in this paper was used for annotation of terms related to biological transformation and valorization of organic residues in agriculture in low and middle-income country. Specialized lexicon was obtained through different steps: corpus and extraction of terms, annotation of extracted terms, selection of relevant terms. |
| title | A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries |
| topic | Information Retrieval Computation and Language |
| url | https://arxiv.org/abs/2406.00682 |