# Giulia Venturi⋄

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/giulia-venturi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,415 |
| Field | Natural Language Processing Techniques |
| h-index | 19 |
| i10-index | 40 |
| Last Known Institution | Institute for Computational Linguistics “A. Zampolli” |
| OpenAlex ID | https://openalex.org/A5080111149 |
| ORCID iD | 0000-0001-5849-0979 |
| Works | 137 |

## Researcher papers

- [READ--IT: Assessing Readability of Italian Texts with a View to Text Simplification](https://scholariq.org/papers/read-it-assessing-readability-of-italian-texts-with-a-view-to-text/)
- [Hypokalemia in Patients with COVID-19](https://scholariq.org/papers/hypokalemia-in-patients-with-covid-19/)
- [The ParlaMint corpora of parliamentary proceedings](https://scholariq.org/papers/the-parlamint-corpora-of-parliamentary-proceedings/)
- [The BioLexicon: a large-scale terminological resource for biomedical text mining](https://scholariq.org/papers/the-biolexicon-a-large-scale-terminological-resource-for-biomedical-text-mining/)
- [Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications](https://scholariq.org/papers/proceedings-of-the-11th-workshop-on-innovative-use-of-nlp-for-building/)
- [Design and Annotation of the First Italian Corpus for Text Simplification](https://scholariq.org/papers/design-and-annotation-of-the-first-italian-corpus-for-text-simplification/)
- [Is this Sentence Difficult? Do you Agree?](https://scholariq.org/papers/is-this-sentence-difficult-do-you-agree/)
- [NLP-based metadata extraction for legal text consolidation](https://scholariq.org/papers/nlp-based-metadata-extraction-for-legal-text-consolidation/)
- [Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)](https://scholariq.org/papers/proceedings-of-the-workshop-on-computational-linguistics-for-linguistic/)
- [Categorising Modality in Biomedical Texts](https://scholariq.org/papers/categorising-modality-in-biomedical-texts/)
- [ADHD Follow-Up in Adulthood among Subjects Treated for the Disorder in a Child and Adolescent Mental Health Service from 1995 to 2015](https://scholariq.org/papers/adhd-follow-up-in-adulthood-among-subjects-treated-for-the-disorder-in-a-child/)

## Researcher topics

- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Text Readability and Simplification](https://scholariq.org/topics/text-readability-and-simplification/)
- [Authorship Attribution and Profiling](https://scholariq.org/topics/authorship-attribution-and-profiling/)

## Researcher university

- [Institute for Computational Linguistics “A. Zampolli”](https://scholariq.org/institutions/institute-for-computational-linguistics-a-zampolli/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.