activity
20202026
most citedA Computational Approach to Measuring the Semantic Divergence of Cognates

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Measuring cross-language intelligibility between Romance languages with computational tools

Liviu P Dinu, Ana Sabina Uban, Bogdan Iordache +2

We present an analysis of mutual intelligibility in related languages applied for languages in the Romance family. We introduce a novel computational metric for estimating intellig…

cs.CL2022★ 1 cited

Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios

Petr Lorenc, Ana-Sabina Uban, Paolo Rosso +1

The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on…

cs.CL2021★ 1 cited

Generating Summaries for Scientific Paper Review

Ana Sabina Uban, Cornelia Caragea

The review process is essential to ensure the quality of publications. Recently, the increase of submissions for top venues in machine learning and NLP has caused a problem of exce…

cs.CL2020★ 1 cited

Analyzing Stylistic Variation across Different Political Regimes

Liviu P. Dinu, Ana-Sabina Uban

In this article we propose a stylistic analysis of texts written across two different periods, which differ not only temporally, but politically and culturally: communism and democ…

cs.CL2020★ 4 cited

A Computational Approach to Measuring the Semantic Divergence of Cognates

Ana-Sabina Uban, Alina-Maria Ciobanu, Liviu P. Dinu

Meaning is the foundation stone of intercultural communication. Languages are continuously changing, and words shift their meanings for various reasons. Semantic divergence in rela…