Kadri Muischnek


2023

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Named Entity layer in Estonian UD treebanks
Kadri Muischnek | Kaili Müürisep
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)

In this paper we will introduce two new language resources, two NE-annotated corpora for Estonian: Estonian Universal Dependencies Treebank (EDT, 440,000 tokens) and Estonian Universal Dependencies Web Treebank (EWT, 90,000 tokens). Together they make up the largest publicly available Estonian named entity gold annotation dataset. Eight NE categories are manually annotated in this dataset, and the fact that it is also annotated for lemma, POS, morphological features and dependency syntactic relations, makes it more valuable. We will also show that dividing the set of named entities into clear-cut categories is not always easy.

2022

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Named Entity Recognition in Estonian 19th Century Parish Court Records
Siim Orasmaa | Kadri Muischnek | Kristjan Poska | Anna Edela
Proceedings of the Thirteenth Language Resources and Evaluation Conference

This paper presents a new historical language resource, a corpus of Estonian Parish Court records from the years 1821-1920, annotated for named entities (NE), and reports on named entity recognition (NER) experiments using this corpus. The hand-written records have been transcribed manually via a crowdsourcing project, so the transcripts are of high quality, but the variation of language and spelling is high in these documents due to dialectal variation and the fact that there was a considerable change in Estonian spelling conventions during the time of their writing. The typology of NEs for manual annotation includes 7 categories, but the inter-annotator agreement is as good as 95.0 (mean F1-score). We experimented with fine-tuning BERT-like transfer learning approaches for NER, and found modern Estonian BERT models highly applicable, despite the difficulty of the historical material. Our best model, finetuned Est-RoBERTa, achieved microaverage F1 score of 93.6, which is comparable to state-of-the-art NER performance on the contemporary Estonian.

2019

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Elliptical Constructions in Estonian UD Treebank
Kadri Muischnek | Liisi Torga
Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

2017

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Estonian Copular and Existential Constructions as an UD Annotation Problem
Kadri Muischnek | Kaili Müürisep
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017)

2016

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Estonian Dependency Treebank: from Constraint Grammar tagset to Universal Dependencies
Kadri Muischnek | Kaili Müürisep | Tiina Puolakainen
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents the first version of Estonian Universal Dependencies Treebank which has been semi-automatically acquired from Estonian Dependency Treebank and comprises ca 400,000 words (ca 30,000 sentences) representing the genres of fiction, newspapers and scientific writing. Article analyses the differences between two annotation schemes and the conversion procedure to Universal Dependencies format. The conversion has been conducted by manually created Constraint Grammar transfer rules. As the rules enable to consider unbounded context, include lexical information and both flat and tree structure features at the same time, the method has proved to be reliable and flexible enough to handle most of transformations. The automatic conversion procedure achieved LAS 95.2%, UAS 96.3% and LA 98.4%. If punctuation marks were excluded from the calculations, we observed LAS 96.4%, UAS 97.7% and LA 98.2%. Still the refinement of the guidelines and methodology is needed in order to re-annotate some syntactic phenomena, e.g. inter-clausal relations. Although automatic rules usually make quite a good guess even in obscure conditions, some relations should be checked and annotated manually after the main conversion.

2012

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Robust clause boundary identification for corpus annotation
Heiki-Jaan Kaalep | Kadri Muischnek
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The paper describes a rule-based system for tagging clause boundaries, implemented for annotating the Estonian Reference Corpus of the University of Tartu, a collection of written texts containing ca 245 million running words and available for querying via Keeleveeb language portal. The system needs information about parts of speech and grammatical categories coded in the word-forms, i.e. it takes morphologically annotated text as input, but requires no information about the syntactic structure of the sentence. Among the strong points of our system we should mention identifying parenthesis and embedded clauses, i.e. clauses that are inserted into another clause dividing it into two separate parts in the linear text, for example a relative clause following its head noun. That enables a corpus query system to unite the otherwise divided clause, a feature that usually presupposes full parsing. The overall precision of the system is 95% and the recall is 96%. If “ordinary” clause boundary detection and parenthesis and embedded clause boundary detection are evaluated separately, then one can say that detecting an “ordinary” clause boundary (recall 98%, precision 96%) is an easier task than detecting an embedded clause (recall 79%, precision 100%).

2011

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Morphological analysis of a non-standard language variety
Heiki-Jaan Kaalep | Kadri Muischnek
Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011)

2007

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Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)
Joakim Nivre | Heiki-Jaan Kaalep | Kadri Muischnek | Mare Koit
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

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Estonian-English Statistical Machine Translation: the First Results
Mark Fishel | Heiki-Jaan Kaalep | Kadri Muischnek
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

2006

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Multi-word verbs in a flective language: the case of Estonian
Heiki-Jaan Kaalep | Kadri Muischnek
Proceedings of the Workshop on Multi-word-expressions in a multilingual context

2002

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Using the Text Corpus to Create a Comprehensive List of Phrasal Verbs
Heiki-Jaan Kaalep | Kadri Muischnek
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)