6 citations · 9 across the 6 of their papers we have counts for
7 papers
Pantagruel: Unified Self-Supervised Encoders for French Text and Speech
Phuong-Hang Le, Valentin Pelloin, Arnault Chatelain +27
We release Pantagruel models, a new family of self-supervised encoder models for French text and speech. Instead of predicting modality-tailored targets such as textual tokens or s…
Evaluating Lexicon Incorporation for Depression Symptom Estimation
Kirill Milintsevich, Gaël Dias, Kairit Sirts
This paper explores the impact of incorporating sentiment, emotion, and domain-specific lexicons into a transformer-based model for depression symptom estimation. Lexicon informati…
Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset
Kirill Milintsevich, Kairit Sirts, Gaël Dias
This paper addresses the quality of annotations in mental health datasets used for NLP-based depression level estimation from social media texts. While previous research relies on…
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources
Kirill Milintsevich, Kairit Sirts
We propose a novel hybrid approach to lemmatization that enhances the seq2seq neural model with additional lemmas extracted from an external lexicon or a rule-based system. During…
Evaluating Multilingual BERT for Estonian
Claudia Kittask, Kirill Milintsevich, Kairit Sirts
Recently, large pre-trained language models, such as BERT, have reached state-of-the-art performance in many natural language processing tasks, but for many languages, including Es…
Automated Word Stress Detection in Russian
Maria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak +1
In this study we address the problem of automated word stress detection in Russian using character level models and no part-speech-taggers. We use a simple bidirectional RNN with L…
Char-RNN for Word Stress Detection in East Slavic Languages
Ekaterina Chernyak, Maria Ponomareva, Kirill Milintsevich
We explore how well a sequence labeling approach, namely, recurrent neural network, is suited for the task of resource-poor and POS tagging free word stress detection in the Russia…