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Found 14 papers, 1 papers with code
jurBERT: A Romanian BERT Model for Legal Judgement Prediction
Transformer-based models have become the de facto standard in the field of Natural Language Processing (NLP).
Understanding Patterns of Anorexia Manifestations in Social Media Data with Deep Learning
Eating disorders are a growing problem especially among young people, yet they have been under-studied in computational research compared to other mental health disorders such as depression.
black[LSCDiscovery shared task] CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change
This paper presents the contributions of the CoToHiLi team for the LSCDiscovery shared task on semantic change in the Spanish language.
Automatic Discrimination between Inherited and Borrowed Latin Words in Romance Languages
In this paper, we address the problem of automatically discriminating between inherited and borrowed Latin words.
A Computational Exploration of Pejorative Language in Social Media
In this paper we study pejorative language, an under-explored topic in computational linguistics.
Investigating the Relationship Between Romanian Financial News and Closing Prices from the Bucharest Stock Exchange
It is encouraging that all models, be that they are applied to Romanian or English texts, indicate a correlation between the sentiment scores and the increase or decrease of the stock closing prices.
Tracking Semantic Change in Cognate Sets for English and Romance Languages
To this end, we introduce a new curated dataset of cognates in all pairs of those languages.
Towards an Etymological Map of Romanian
In this paper we investigate the etymology of Romanian words.
Multi-Aspect Transfer Learning for Detecting Low Resource Mental Disorders on Social Media
We propose that transfer learning with linguistic features can be useful for approaching both the technical problem of improving mental disorder detection in the context of data scarcity, and the clinical problem of understanding the overlapping symptoms between certain disorders.
Generating Summaries for Scientific Paper Review
In this paper, we explore automatic review summary generation for scientific papers.
Automatically Building a Multilingual Lexicon of False Friends With No Supervision
Cognate words, defined as words in different languages which derive from a common etymon, can be useful for language learners, who can leverage the orthographical similarity of cognates to more easily understand a text in a foreign language.
Finding a Character's Voice: Stylome Classification on Literary Characters
We investigate in this paper the problem of classifying the stylome of characters in a literary work.
