| 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 | 232 | 2016 |
| Minimally-supervised morphological segmentation using adaptor grammars K Sirts, S Goldwater Transactions of the Association for Computational Linguistics 1, 255-266, 2013 | 75 | 2013 |
| 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 | 58 | 2016 |
| 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 | 52 | 2016 |
| Linear Ensembles of Word Embedding Models A Muromägi, K Sirts, S Laur Proceedings of the 21st Nordic Conference of Computational Linguistics, 96-104, 2017 | 41 | 2017 |
| 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 | 33 | 2017 |
| EstBERT: A pretrained language-specific BERT for Estonian H Tanvir, C Kittask, S Eiche, K Sirts arXiv preprint arXiv:2011.04784, 2020 | 32 | 2020 |
| 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 | 30 | 2019 |
| 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 | 19 | 2012 |
| 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 | 18 | 2019 |
| Modeling composite labels for neural morphological tagging A Tkachenko, K Sirts arXiv preprint arXiv:1810.08815, 2018 | 18 | 2018 |
| Towards automatic text-based estimation of depression through symptom prediction K Milintsevich, K Sirts, G Dias Brain Informatics 10 (1), 4, 2023 | 17 | 2023 |
| Simple App Review Classification with Only Lexical Features FA Shah, K Sirts, P Dietmar Proceedings of the 13th International Conference on Software Technologies …, 2018 | 16 | 2018 |
| 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 | 15 | 2015 |
| Multimodal sequential fashion attribute prediction HS Arslan, K Sirts, M Fishel, G Anbarjafari Information 10 (10), 308, 2019 | 14 | 2019 |
| 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 | 11 | 2015 |
| 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 | 9 | 2019 |
| 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 | 9 | 2014 |
| 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 | 8 | 2020 |
| 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 | 8 | 2019 |
Mark JohnsonProfessor of Language Sciences, School of Computing, Macquarie University在 MQ.edu.au 的电子邮件经过验证
