Andrea Bellandi


2023

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The Importance of Being Interoperable: Theoretical and Practical Implications in Converting TBX to OntoLex-Lemon
Andrea Bellandi | Giorgio Maria Di Nunzio | Silvia Piccini | Federica Vezzani
Proceedings of the 4th Conference on Language, Data and Knowledge

2022

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From Inscriptions to Lexica and Back: A Platform for Editing and Linking the Languages of Ancient Italy
Valeria Quochi | Andrea Bellandi | Fahad Khan | Michele Mallia | Francesca Murano | Silvia Piccini | Luca Rigobianco | Alessandro Tommasi | Cesare Zavattari
Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages

Available language technology is hardly applicable to scarcely attested ancient languages, yet their digital semantic representation, though challenging, is an asset for the purpose of sharing and preserving existing cultural knowledge. In the context of a project on the languages and cultures of ancient Italy, we took up this challenge. The paper thus describes the development of a user friendly web platform, EpiLexO, for the creation and editing of an integrated system of language resources for ancient fragmentary languages centered on the lexicon, in compliance with current digital humanities and Linked Open Data principles. EpiLexo allows for the editing of lexica with all relevant cross-references: for their linking to their testimonies, as well as to bibliographic information and other (external) resources and common vocabularies. The focus of the current implementation is on the languages of ancient Italy, in particular Oscan, Faliscan, Celtic and Venetic; however, the technological solutions are designed to be general enough to be potentially applicable to different scenarios.

2020

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Involving Lexicographers in the LLOD Cloud with LexO, an Easy-to-use Editor of Lemon Lexical Resources
Andrea Bellandi | Emiliano Giovannetti
Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)

In this contribution, we show LexO, a user-friendly web collaborative editor of lexical resources based on the lemon model. LexO has been developed in the context of Digital Humanities projects, in which a key point in the design of an editor was the ease of use by lexicographers with no skill in Linked Data or Semantic Web technologies. Though the tool already allows creating a lemon lexicon from scratch and lets a team of users work on it collaboratively, many developments are possible. The involvement of the LLOD community appears now crucial both to find new users and application fields where to test it, and, even more importantly, to understand in which way it should evolve.

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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Sina Ahmadi | John Philip McCrae | Sanni Nimb | Fahad Khan | Monica Monachini | Bolette Pedersen | Thierry Declerck | Tanja Wissik | Andrea Bellandi | Irene Pisani | Thomas Troelsgård | Sussi Olsen | Simon Krek | Veronika Lipp | Tamás Váradi | László Simon | András Gyorffy | Carole Tiberius | Tanneke Schoonheim | Yifat Ben Moshe | Maya Rudich | Raya Abu Ahmad | Dorielle Lonke | Kira Kovalenko | Margit Langemets | Jelena Kallas | Oksana Dereza | Theodorus Fransen | David Cillessen | David Lindemann | Mikel Alonso | Ana Salgado | José Luis Sancho | Rafael-J. Ureña-Ruiz | Jordi Porta Zamorano | Kiril Simov | Petya Osenova | Zara Kancheva | Ivaylo Radev | Ranka Stanković | Andrej Perdih | Dejan Gabrovsek
Proceedings of the Twelfth Language Resources and Evaluation Conference

Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriously requiring data such as neural networks. Our resources are publicly available at https://github.com/elexis-eu/MWSA.

2018

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One Language to rule them all: modelling Morphological Patterns in a Large Scale Italian Lexicon with SWRL
Fahad Khan | Andrea Bellandi | Francesca Frontini | Monica Monachini
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

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Developing LexO: a Collaborative Editor of Multilingual Lexica and Termino-Ontological Resources in the Humanities
Andrea Bellandi | Emiliano Giovannetti | Silvia Piccini | Anja Weingart
Proceedings of Language, Ontology, Terminology and Knowledge Structures Workshop (LOTKS 2017)

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Designing an Ontology for the Study of Ritual in Ancient Greek Tragedy
Gloria Mugelli | Andrea Bellandi | Federico Boschetti | Anas Fahad Khan
Proceedings of Language, Ontology, Terminology and Knowledge Structures Workshop (LOTKS 2017)

2016

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Tools and Instruments for Building and Querying Diachronic Computational Lexica
Fahad Khan | Andrea Bellandi | Monica Monachini
Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)

This article describes work on enabling the addition of temporal information to senses of words in linguistic linked open data lexica based on the lemonDia model. Our contribution in this article is twofold. On the one hand, we demonstrate how lemonDia enables the querying of diachronic lexical datasets using OWL-oriented Semantic Web based technologies. On the other hand, we present a preliminary version of an interactive interface intended to help users in creating lexical datasets that model meaning change over time.

2015

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When Translation Requires Interpretation: Collaborative Computer–Assisted Translation of Ancient Texts
Andrea Bellandi | Davide Albanesi | Giulia Benotto | Emiliano Giovannetti | Gianfranco Di Segni
Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)