11 citations · 11 across the 1 of their papers we have counts for
7 papers
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts
Kairit Sirts, Kairit Peekman
Texts obtained from web are noisy and do not necessarily follow the orthographic sentence and word boundary rules. Thus, sentence segmentation and word tokenization systems that ha…
EstBERT: A Pretrained Language-Specific BERT for Estonian
Hasan Tanvir, Claudia Kittask, Sandra Eiche +1
This paper presents EstBERT, a large pretrained transformer-based language-specific BERT model for Estonian. Recent work has evaluated multilingual BERT models on Estonian tasks an…
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…
Modeling Composite Labels for Neural Morphological Tagging
Alexander Tkachenko, Kairit Sirts
Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure. We pr…
Neural Morphological Tagging for Estonian
Alexander Tkachenko, Kairit Sirts
We develop neural morphological tagging and disambiguation models for Estonian. First, we experiment with two neural architectures for morphological tagging - a standard multiclass…
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews
Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl
Annotation guidelines used to guide the annotation of training and evaluation datasets can have a considerable impact on the quality of machine learning models. In this study, we e…