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Your search keyword '"Paola Marongiu"' showing total 2 results
Start Over Author "Paola Marongiu" Topic artificial intelligence
2 results on '"Paola Marongiu"'

1. Challenges in Converting the Index Thomisticus Treebank into Universal Dependencies

Author

Marco Carlo Passarotti, Paola Marongiu, Flavio Massimiliano Cecchini, and Daniel Zeman

Subjects
Dependency (UML), Treebank, Latin, Universal Dependencies, Computer science, Process (engineering), business.industry, Lemmatisation, Universal Dependencies, Settore L-LIN/01 - GLOTTOLOGIA E LINGUISTICA, Treebank, 02 engineering and technology, computer.software_genre, 030507 speech-language pathology & audiology, 03 medical and health sciences, Annotation, Index (publishing), Medieval Latin, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, 0305 other medical science, business, computer, Natural language processing, Universal dependencies
Abstract

Poster for the paper "Challenges in converting the Index Thomisticus Treebank into Universal Dependencies" presented at the 2nd Universal Dependencies Workshop 2018 hosted at EMNLP 2018, Brussels, Belgium, on November 1st, 2018., {"references":["Cecchini, F. M., Passarotti, M., Marongiu, P., & Zeman, D. (2018). Challenges in converting the Index Thomisticus Treebank into Universal Dependencies. Presented at the 2nd Universal Dependencies Workshop 2018 (UDW 2018), Brussels, Belgium."]}

Published
2018
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2. Enhancing Universal Dependency Treebanks: A Case Study

Author

Sebastian Schuster, Paola Marongiu, Maria Simi, Jenna Kanerva, Filip Ginter, Simonetta Montemagni, and Joakim Nivre

Subjects
060201 languages & linguistics, enhanced dependencies, Dependency (UML), Information extraction, Computer science, business.industry, Information extraction, Universal Dependencies, enhanced dependencies, Universal Dependencies, 06 humanities and the arts, 02 engineering and technology, computer.software_genre, 0602 languages and literature, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Computational linguistics, business, computer, Natural language processing
Abstract

We evaluate two cross-lingual techniques for adding enhanced dependencies to existing treebanks in Universal Dependencies. We apply a rule-based system developed for English and a data-driven system trained on Finnish to Swedish and Italian. We find that both systems are accurate enough to bootstrap enhanced dependencies in existing UD treebanks. In the case of Italian, results are even on par with those of a prototype language-specific system.

Published
2018

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