Kairit Sirts
TitleCited byYear
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
802016
Minimally-supervised morphological segmentation using adaptor grammars
K Sirts, S Goldwater
Transactions of the Association for Computational Linguistics 1, 255-266, 2013
432013
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
242016
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
232016
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
182012
Linear Ensembles of Word Embedding Models
A Muromägi, K Sirts, S Laur
Proceedings of the 21st Nordic Conference of Computational Linguistics, 96-104, 2017
92017
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
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
82017
Query-based single document summarization using an ensemble noisy auto-encoder
MY Azar, K Sirts, DM Aliod, L Hamey
Proceedings of the Australasian Language Technology Association Workshop …, 2015
62015
Modeling composite labels for neural morphological tagging
A Tkachenko, K Sirts
arXiv preprint arXiv:1810.08815, 2018
42018
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
42015
Simple App Review Classification with Only Lexical Features
FA Shah, K Sirts, P Dietmar
Proceedings of the 13th International Conference on Software Technologies …, 2018
22018
Noisy-Channel Spelling Correction Models for Estonian Learner Language Corpus Lemmatisation.
K Sirts
Baltic HLT, 213-220, 2012
22012
Is the SAFE Approach Too Simple for App Feature Extraction? A Replication Study
FA Shah, K Sirts, D Pfahl
International Working Conference on Requirements Engineering: Foundation for …, 2019
12019
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews
FA Shah, K Sirts, D Pfahl
OSF Preprints, 2018
12018
Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews
FA Shah, K Sirts, D Pfahl
Proceedings of the 14th Int’l Conference on Software Technologies …, 2018
12018
Non-parametric Bayesian models for computational morphology
K Sirts
TUT Press, 2015
12015
Multimodal Sequential Fashion Attribute Prediction
HS Arslan, K Sirts, M Fishel, G Anbarjafari
Information 10 (10), 308, 2019
2019
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
2019
Neural Morphological Tagging for Estonian.
A Tkachenko, K Sirts
Baltic HLT, 166-174, 2018
2018
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Articles 1–20