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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources ... Milintsevich, Kirill; Sirts, Kairit. - : arXiv, 2021 BASE Show details 2 Evaluating Multilingual BERT for Estonian ... Kittask, Claudia; Milintsevich, Kirill; Sirts, Kairit. - : arXiv, 2020 BASE Show details 3 EstBERT: A Pretrained Language-Specific BERT for Estonian ... Tanvir, Hasan; Kittask, Claudia; Eiche, Sandra. - : arXiv, 2020 BASE Show details 4 STransE: a novel embedding model of entities and relationships in knowledge bases ... Nguyen, Dat Quoc; Sirts, Kairit; Qu, Lizhen; Johnson, Mark. - : arXiv, 2016 Abstract: Knowledge bases of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks. However, because knowledge bases are typically incomplete, it is useful to be able to perform link prediction or knowledge base completion, i.e., predict whether a relationship not in the knowledge base is likely to be true. This paper combines insights from several previous link prediction models into a new embedding model STransE that represents each entity as a low-dimensional vector, and each relation by two matrices and a translation vector. STransE is a simple combination of the SE and TransE models, but it obtains better link prediction performance on two benchmark datasets than previous embedding models. Thus, STransE can serve as a new baseline for the more complex models in the link prediction task. ... : V1: In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016. V2: Corrected citation to (Krompa{\ss} et al., 2015). V3: A revised version of our NAACL-HLT 2016 paper with additional experimental results and latest related work ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1606.08140 https://dx.doi.org/10.48550/arxiv.1606.08140 BASE Hide details 5 STransE : a novel embedding model of entities and relationships in knowledge bases Nguyen, Dat Quoc; Sirts, Kairit; Qu, Lizhen. - : Red Hook, New York : Association for Computational Linguistics, 2016 BASE Show details 6 Query-based single document summarization using an Ensemble Noisy Auto-Encoder Yousefi Azar, Mahmood; Sirts, Kairit; Molla Aliod, Diego. - : Melbourne, Australia : Association for Computational Linguistics, 2015 BASE Show details 7 POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process Sirts, Kairit; Eisenstein, Jacob; Elsner, Micha. - : Stroudsburg, PA : Association for Computational Linguistics, 2014 BASE Show details 8 Minimally-supervised morphological segmentation using adaptor grammars Sirts, Kairit; Goldwater, Sharon. - : Association for Computational Linguistics, 2013 BASE Show details 9 Noisy-channel spelling correction models for Estonian learner language corpus lemmatisation Sirts, Kairit. - : Amsterdam : IOS Press, 2012 BASE Show details 10 A Hierarchical dirichlet process model for joint part-of-speech and morphology induction Alumäe, Tanel; Sirts, Kairit. - : Stroudsburg, PA : Association for Computational Linguistics, 2012 BASE Show details 11 Korpuste tükeldamine : rakendusi silpide ning allkeeltega ; Cutting the text corpora : applications with syllables and sub-languages Sirts, Kairit; Võhandu, Leo. - : Eesti Rakenduslingvistika Uhing = Estonian Association for Applied Linguistics, 2009 BASE Show details 12 Eesti silbisüsteemi struktuurist ; A preliminary structural view of the Estonian syllable system Võhandu, Leo; Sirts, Kairit; Aab, Eik. - : Eesti Rakenduslingvistika Uhing, 2008 BASE Show details

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