Kairit Sirts

According to our database, Kairit Sirts authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset.

Kirill Milintsevich, Kairit Sirts, Gaël Dias

CoRR, 2024

2023

Towards automatic text-based estimation of depression through symptom prediction.

Kirill Milintsevich, Kairit Sirts, Gaël Dias

Brain Informatics, December, 2023

Estonian Named Entity Recognition: New Datasets and Models.

Kairit Sirts

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Comparison of Current Approaches to Lemmatization: A Case Study in Estonian.

Aleksei Dorkin, Kairit Sirts

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

2021

EstBERT: A Pretrained Language-Specific BERT for Estonian.

Hasan Tanvir, Claudia Kittask, Sandra Eiche, Kairit Sirts

Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources.

Kirill Milintsevich, Kairit Sirts

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

EstBERT: A Pretrained Language-Specific BERT for Estonian.

Hasan Tanvir, Claudia Kittask, Kairit Sirts

CoRR, 2020

Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts.

Kairit Sirts, Kairit Peekman

Proceedings of the Human Language Technologies - The Baltic Perspective, 2020

Lexicon-Enhanced Neural Lemmatization for Estonian.

Kirill Milintsevich, Kairit Sirts

Proceedings of the Human Language Technologies - The Baltic Perspective, 2020

Evaluating Multilingual BERT for Estonian.

Claudia Kittask, Kirill Milintsevich, Kairit Sirts

Proceedings of the Human Language Technologies - The Baltic Perspective, 2020

2019

Multimodal Sequential Fashion Attribute Prediction.

Hasan Sait Arslan, Kairit Sirts, Mark Fishel, Gholamreza Anbarjafari

Inf., 2019

Using app reviews for competitive analysis: tool support.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, 2019

Is the SAFE Approach Too Simple for App Feature Extraction? A Replication Study.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2019

Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

Proceedings of the 14th International Conference on Software Technologies, 2019

2018

The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

CoRR, 2018

Simplifying the Classification of App Reviews Using Only Lexical Features.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

Proceedings of the Software Technologies - 13th International Conference, 2018

Simple App Review Classification with Only Lexical Features.

Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl

Proceedings of the 13th International Conference on Software Technologies, 2018

Neural Morphological Tagging for Estonian.

Alexander Tkachenko, Kairit Sirts

Proceedings of the Human Language Technologies - The Baltic Perspective, 2018

Modeling Composite Labels for Neural Morphological Tagging.

Alexander Tkachenko, Kairit Sirts

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017

Linear Ensembles of Word Embedding Models.

Avo Muromägi, Kairit Sirts, Sven Laur

Proceedings of the 21st Nordic Conference on Computational Linguistics, 2017

Idea density for predicting Alzheimer's disease from transcribed speech.

Kairit Sirts, Olivier Piguet, Mark Johnson

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016

A Comparative Study of Minimally Supervised Morphological Segmentation.

Teemu Ruokolainen, Oskar Kohonen, Kairit Sirts, Stig-Arne Grönroos, Mikko Kurimo, Sami Virpioja

Comput. Linguistics, 2016

STransE: a novel embedding model of entities and relationships in knowledge bases.

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

Proceedings of the NAACL HLT 2016, 2016

Neighborhood Mixture Model for Knowledge Base Completion.

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015

Do POS Tags Help to Learn Better Morphological Segmentations?

Kairit Sirts, Mark Johnson

Proceedings of the Australasian Language Technology Association Workshop, 2015

Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling.

Dat Quoc Nguyen, Kairit Sirts, Mark Johnson

Proceedings of the Australasian Language Technology Association Workshop, 2015

Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder.

Mahmood Yousefi-Azar, Kairit Sirts, Len Hamey, Diego Mollá Aliod

Proceedings of the Australasian Language Technology Association Workshop, 2015

2014

POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process.

Kairit Sirts, Jacob Eisenstein, Micha Elsner, Sharon Goldwater

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Minimally-Supervised Morphological Segmentation using Adaptor Grammars.

Kairit Sirts, Sharon Goldwater

Trans. Assoc. Comput. Linguistics, 2013

2012

A Hierarchical Dirichlet Process Model for Joint Part-of-Speech and Morphology Induction.

Kairit Sirts, Tanel Alumäe

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Noisy-Channel Spelling Correction Models for Estonian Learner Language Corpus Lemmatisation.

Kairit Sirts

Proceedings of the Human Language Technologies - The Baltic Perspective, 2012