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Add topics file
Browse files- README.md +10 -2
- topics/garbage.pdf +3 -0
- topics/garbage.xlsx +3 -0
- topics/healthcare.pdf +3 -0
- topics/healthcare.xlsx +3 -0
- topics/public_services.pdf +3 -0
- topics/public_services.xlsx +3 -0
README.md
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tags:
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- legal
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size_categories:
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license: mit
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configs:
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- config_name: comma
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sep: ','
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---
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# Corpus ItaIst-laws
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The corpus containing 351 legal references that was collected by the research unit of the University of Molise including linguists (Giuliana Fiorentino, Vittorio Ganfi), jurists (Alessandro Cioffi, Maria Assunta Simonelli, Ludovico Di Benedetto) and computer scientists (Rocco Oliveto, Marco Russodivito).
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The corpus includes legal references from Italian and European laws, covering "garbage", "healthcare", and "public services" topics.
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## Acknowledgements
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This contribution is a result of the research conducted within the framework of the PRIN 2020 (Progetti di Rilevante Interesse Nazionale) "VerbACxSS: on analytic verbs, complexity, synthetic verbs, and simplification. For accessibility" (Prot. 2020BJKB9M), funded by the Italian Ministero dell'Università e della Ricerca.
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tags:
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- legal
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size_categories:
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- n<1K
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license: mit
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configs:
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- config_name: comma
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sep: ','
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---
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# Corpus ItaIst-laws
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The corpus containing 351 excerpts of legal references that was collected by the research unit of the University of Molise including linguists (Giuliana Fiorentino, Vittorio Ganfi), jurists (Alessandro Cioffi, Maria Assunta Simonelli, Ludovico Di Benedetto) and computer scientists (Rocco Oliveto, Marco Russodivito).
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The corpus includes legal references from Italian and European laws, covering "garbage", "healthcare", and "public services" topics.
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## Corpus structure
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* `legal_sources`: folder that contains the original legal documents in `.xml` format. These files were used as the primary sources from which relevant excerpts of Italian and European laws have been extracted for the corpus.
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* `topics`: folder that contains the corpus organized by topic. Each `.xlsx` file includes the excerpts, while the corresponding `.pdf` file provides a human-readable version.
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* `corpus.csv`: the full corpus in `.csv` format.
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* `corpus.tsv`: the full corpus in `.tsv` format.
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* `corpus.xlsx`: the full corpus in `.xlsx` format.
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## Acknowledgements
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This contribution is a result of the research conducted within the framework of the PRIN 2020 (Progetti di Rilevante Interesse Nazionale) "VerbACxSS: on analytic verbs, complexity, synthetic verbs, and simplification. For accessibility" (Prot. 2020BJKB9M), funded by the Italian Ministero dell'Università e della Ricerca.
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topics/garbage.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:129e5e34d71b4f7c35bcd6ee4525faf873194b468e073502e95880d4ad0df95d
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size 82451
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topics/garbage.xlsx
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version https://git-lfs.github.com/spec/v1
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oid sha256:27ec907f6ab2dd70f86bbf90675d321457ec5d556c793ba49de5c09b35fcc22e
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size 36332
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topics/healthcare.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1fbd30fe25116961f50ae9597cda8ec5100a7659258ba20a0ee825cd78d071e
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size 135578
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topics/healthcare.xlsx
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version https://git-lfs.github.com/spec/v1
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oid sha256:139167e3fe3b914427028860aa8e388e08c672e3a927b603e0972822071e3ed5
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size 64242
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topics/public_services.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:6deb3c33784ecab11029b69c75e67a73e0db0b89f85182420c79475909682c5c
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size 78747
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topics/public_services.xlsx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5aea485858278c226652aba7a64ebec7b3eeff8d7b58117944747e46df13af95
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size 37152
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