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Kairit Sirts
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STransE: a novel embedding model of entities and relationships in knowledge bases
DQ Nguyen, K Sirts, L Qu, M Johnson
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
2322016
Minimally-supervised morphological segmentation using adaptor grammars
K Sirts, S Goldwater
Transactions of the Association for Computational Linguistics 1, 255-266, 2013
752013
Neighborhood Mixture Model for Knowledge Base Completion
DQ Nguyen, K Sirts, L Qu, M Johnson
Proceedings of the 20th SIGNLL Conference on Computational Natural Language …, 2016
582016
A comparative study of minimally supervised morphological segmentation
T Ruokolainen, O Kohonen, K Sirts, SA Grönroos, M Kurimo, S Virpioja
Computational Linguistics 42 (1), 91-120, 2016
522016
Linear Ensembles of Word Embedding Models
A Muromägi, K Sirts, S Laur
Proceedings of the 21st Nordic Conference of Computational Linguistics, 96-104, 2017
412017
Idea density for predicting Alzheimer’s disease from transcribed speech
K Sirts, O Piguet, M Johnson
Proceedings of the 21st Conference on Computational Natural Language …, 2017
332017
EstBERT: A pretrained language-specific BERT for Estonian
H Tanvir, C Kittask, S Eiche, K Sirts
arXiv preprint arXiv:2011.04784, 2020
322020
Using app reviews for competitive analysis: tool support
FA Shah, K Sirts, D Pfahl
Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market …, 2019
302019
A hierarchical Dirichlet process model for joint part-of-speech and morphology induction
K Sirts, T Alumäe
Proceedings of the 2012 Conference of the North American Chapter of the …, 2012
192012
Is the SAFE approach too simple for app feature extraction? A replication study
FA Shah, K Sirts, D Pfahl
Requirements Engineering: Foundation for Software Quality: 25th …, 2019
182019
Modeling composite labels for neural morphological tagging
A Tkachenko, K Sirts
arXiv preprint arXiv:1810.08815, 2018
182018
Towards automatic text-based estimation of depression through symptom prediction
K Milintsevich, K Sirts, G Dias
Brain Informatics 10 (1), 4, 2023
172023
Simple App Review Classification with Only Lexical Features
FA Shah, K Sirts, P Dietmar
Proceedings of the 13th International Conference on Software Technologies …, 2018
162018
Improving topic coherence with latent feature word representations in map estimation for topic modeling
DQ Nguyen, K Sirts, M Johnson
Proceedings of the Australasian Language Technology Association Workshop …, 2015
152015
Multimodal sequential fashion attribute prediction
HS Arslan, K Sirts, M Fishel, G Anbarjafari
Information 10 (10), 308, 2019
142019
Query-based single document summarization using an ensemble noisy auto-encoder
MY Azar, K Sirts, D Molla, L Hamey
Proceedings of the Australasian Language Technology Association Workshop …, 2015
112015
Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews.
FA Shah, K Sirts, D Pfahl
ICSOFT, 384-396, 2019
92019
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process
K Sirts, J Eisenstein, M Elsner, S Goldwater
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
92014
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts.
K Sirts, K Peekman, U Andrius, V Jurgita, K Jolantai, K Danguole
Baltic HLT, 174-181, 2020
82020
Simplifying the classification of app reviews using only lexical features
FA Shah, K Sirts, D Pfahl
Software Technologies: 13th International Conference, ICSOFT 2018, Porto …, 2019
82019
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