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ORCIDKairit Sirts
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2020 – today
- 2024
[c29]Kirill Milintsevich, Gaël Dias, Kairit Sirts:
Evaluating Lexicon Incorporation for Depression Symptom Estimation. ClinicalNLP@NAACL 2024: 322-328- [c28]Emil Kalbaliyev, Kairit Sirts:
On Narrative Question Answering Skills. NAACL (Short Papers) 2024: 814-820 - [c27]Aleksei Dorkin, Kairit Sirts:
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages. SIGTYPE 2024: 120-130 - [c26]Aleksei Dorkin, Kairit Sirts:
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation. *SEM@NAACL 2024: 410-420 - [c25]Neha Sharma, Kairit Sirts:
Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions. WASSA 2024: 344-361 - [i19]Kirill Milintsevich, Kairit Sirts, Gaël Dias:
Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset. CoRR abs/2403.00438 (2024) - [i18]Aleksei Dorkin, Kairit Sirts:
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages. CoRR abs/2404.12845 (2024) - [i17]Aleksei Dorkin, Kairit Sirts:
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian. CoRR abs/2404.15003 (2024) - [i16]Kirill Milintsevich, Gaël Dias, Kairit Sirts:
Evaluating Lexicon Incorporation for Depression Symptom Estimation. CoRR abs/2404.19359 (2024) - [i15]Aleksei Dorkin, Kairit Sirts:
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation. CoRR abs/2404.19430 (2024) - [i14]Aleksei Dorkin, Kairit Sirts:
TartuNLP at EvaLatin 2024: Emotion Polarity Detection. CoRR abs/2405.01159 (2024) - [i13]Neha Sharma, Kairit Sirts:
Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions. CoRR abs/2405.18061 (2024) - [i12]Aleksei Dorkin, Kairit Sirts:
TartuNLP @ AXOLOTL-24: Leveraging Classifier Output for New Sense Detection in Lexical Semantics. CoRR abs/2407.03861 (2024) - 2023
- [j4]Kirill Milintsevich, Kairit Sirts, Gaël Dias:
Towards automatic text-based estimation of depression through symptom prediction. Brain Informatics 10(1): 4 (2023) - [c24]Aleksei Dorkin, Kairit Sirts:
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian. NoDaLiDa 2023: 280-285 - [c23]Kairit Sirts:
Estonian Named Entity Recognition: New Datasets and Models. NoDaLiDa 2023: 752-761 - 2021
- [c22]Kirill Milintsevich
, Kairit Sirts:
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources. EACL 2021: 3112-3122 - [c21]Hasan Tanvir, Claudia Kittask, Sandra Eiche, Kairit Sirts:
EstBERT: A Pretrained Language-Specific BERT for Estonian. NoDaLiDa 2021: 11-19 - [i11]Kirill Milintsevich, Kairit Sirts:
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources. CoRR abs/2101.12056 (2021) - 2020
- [c20]Claudia Kittask, Kirill Milintsevich, Kairit Sirts:
Evaluating Multilingual BERT for Estonian. Baltic HLT 2020: 19-26 - [c19]Kirill Milintsevich, Kairit Sirts:
Lexicon-Enhanced Neural Lemmatization for Estonian. Baltic HLT 2020: 158-165 - [c18]Kairit Sirts, Kairit Peekman:
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts. Baltic HLT 2020: 174-181 - [i10]Claudia Kittask, Kirill Milintsevich, Kairit Sirts:
Evaluating Multilingual BERT for Estonian. CoRR abs/2010.00454 (2020) - [i9]Hasan Tanvir, Claudia Kittask, Kairit Sirts:
EstBERT: A Pretrained Language-Specific BERT for Estonian. CoRR abs/2011.04784 (2020) - [i8]Kairit Sirts, Kairit Peekman:
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts. CoRR abs/2011.07868 (2020)
2010 – 2019
- 2019
- [j3]Hasan Sait Arslan, Kairit Sirts, Mark Fishel, Gholamreza Anbarjafari:
Multimodal Sequential Fashion Attribute Prediction. Inf. 10(10): 308 (2019) - [c17]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. ICSOFT 2019: 384-396 - [c16]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
Is the SAFE Approach Too Simple for App Feature Extraction? A Replication Study. REFSQ 2019: 21-36 - [c15]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
Using app reviews for competitive analysis: tool support. WAMA@ESEC/SIGSOFT FSE 2019: 40-46 - 2018
- [c14]Alexander Tkachenko, Kairit Sirts:
Modeling Composite Labels for Neural Morphological Tagging. CoNLL 2018: 368-379 - [c13]Alexander Tkachenko, Kairit Sirts:
Neural Morphological Tagging for Estonian. Baltic HLT 2018: 166-174 - [c12]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
Simple App Review Classification with Only Lexical Features. ICSOFT 2018: 146-153 - [c11]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
Simplifying the Classification of App Reviews Using Only Lexical Features. ICSOFT (Selected Papers) 2018: 173-193 - [i7]Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. CoRR abs/1810.05187 (2018) - [i6]Alexander Tkachenko, Kairit Sirts:
Neural Morphological Tagging for Estonian. CoRR abs/1810.06908 (2018) - [i5]Alexander Tkachenko, Kairit Sirts:
Modeling Composite Labels for Neural Morphological Tagging. CoRR abs/1810.08815 (2018) - 2017
- [c10]Kairit Sirts, Olivier Piguet, Mark Johnson:
Idea density for predicting Alzheimer's disease from transcribed speech. CoNLL 2017: 322-332 - [c9]Avo Muromägi, Kairit Sirts, Sven Laur:
Linear Ensembles of Word Embedding Models. NODALIDA 2017: 96-104 - [i4]Avo Muromägi, Kairit Sirts, Sven Laur:
Linear Ensembles of Word Embedding Models. CoRR abs/1704.01419 (2017) - [i3]Kairit Sirts, Olivier Piguet, Mark Johnson:
Idea density for predicting Alzheimer's disease from transcribed speech. CoRR abs/1706.04473 (2017) - 2016
- [j2]Teemu Ruokolainen, Oskar Kohonen, Kairit Sirts, Stig-Arne Grönroos, Mikko Kurimo, Sami Virpioja:
A Comparative Study of Minimally Supervised Morphological Segmentation. Comput. Linguistics 42(1): 91-120 (2016) - [c8]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
Neighborhood Mixture Model for Knowledge Base Completion. CoNLL 2016: 40-50 - [c7]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
STransE: a novel embedding model of entities and relationships in knowledge bases. HLT-NAACL 2016: 460-466 - [i2]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
Neighborhood Mixture Model for Knowledge Base Completion. CoRR abs/1606.06461 (2016) - [i1]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
STransE: a novel embedding model of entities and relationships in knowledge bases. CoRR abs/1606.08140 (2016) - 2015
- [c6]Mahmood Yousefi-Azar, Kairit Sirts, Len Hamey, Diego Mollá Aliod:
Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder. ALTA 2015: 2-10 - [c5]Kairit Sirts, Mark Johnson:
Do POS Tags Help to Learn Better Morphological Segmentations? ALTA 2015: 91-100 - [c4]Dat Quoc Nguyen, Kairit Sirts, Mark Johnson:
Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling. ALTA 2015: 116-121 - 2014
- [c3]Kairit Sirts, Jacob Eisenstein, Micha Elsner, Sharon Goldwater:
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process. ACL (2) 2014: 265-271 - 2013
- [j1]Kairit Sirts, Sharon Goldwater:
Minimally-Supervised Morphological Segmentation using Adaptor Grammars. Trans. Assoc. Comput. Linguistics 1: 255-266 (2013) - 2012
- [c2]Kairit Sirts:
Noisy-Channel Spelling Correction Models for Estonian Learner Language Corpus Lemmatisation. Baltic HLT 2012: 213-220 - [c1]Kairit Sirts, Tanel Alumäe:
A Hierarchical Dirichlet Process Model for Joint Part-of-Speech and Morphology Induction. HLT-NAACL 2012: 407-416
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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