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Simple Search
Hits 1 – 12 of 12
1
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources ...
Milintsevich, Kirill
;
Sirts, Kairit
. - : arXiv, 2021
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2
Evaluating Multilingual BERT for Estonian ...
Kittask, Claudia
;
Milintsevich, Kirill
;
Sirts, Kairit
. - : arXiv, 2020
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3
EstBERT: A Pretrained Language-Specific BERT for Estonian ...
Tanvir, Hasan
;
Kittask, Claudia
;
Eiche, Sandra
. - : arXiv, 2020
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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
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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
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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
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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
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8
Minimally-supervised morphological segmentation using adaptor grammars
Sirts, Kairit
;
Goldwater, Sharon
. - : Association for Computational Linguistics, 2013
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9
Noisy-channel spelling correction models for Estonian learner language corpus lemmatisation
Sirts, Kairit
. - : Amsterdam : IOS Press, 2012
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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
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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
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12
Eesti silbisüsteemi struktuurist ; A preliminary structural view of the Estonian syllable system
Võhandu, Leo
;
Sirts, Kairit
;
Aab, Eik
. - : Eesti Rakenduslingvistika Uhing, 2008
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