Search Results for author: Petya Osenova

Found 44 papers, 2 papers with code

The Role of the WordNet Relations in the Knowledge-based Word Sense Disambiguation Task

no code implementations GWC 2016 Kiril Simov, Alexander Popov, Petya Osenova

In this paper we present an analysis of different semantic relations extracted from WordNet, Extended WordNet and SemCor, with respect to their role in the task of knowledge-based word sense disambiguation.

Word Sense Disambiguation

ParlaMint II: The Show Must Go On

no code implementations ParlaCLARIN (LREC) 2022 Maciej Ogrodniczuk, Petya Osenova, Tomaž Erjavec, Darja Fišer, Nikola Ljubešić, Çağrı Çöltekin, Matyáš Kopp, Meden Katja

In ParlaMint I, a CLARIN-ERIC supported project in pandemic times, a set of comparable and uniformly annotated multilingual corpora for 17 national parliaments were developed and released in 2021.

Aligning the Bulgarian BTB WordNet with the Bulgarian Wikipedia

no code implementations GWC 2019 Kiril Simov, Petya Osenova, Laska Laskova, Ivajlo Radev, Zara Kancheva

The paper reports on an ongoing work that manually maps the Bulgarian WordNet BTB-WN with Bulgarian Wikipedia.

Raising and Control Constructions in a Bulgarian UD Parsebank of Parliament Sessions

no code implementations CLIB 2022 Petya Osenova

The paper discusses the raising and control syntactic structures (marked as ‘xcomp’) in a UD parsed corpus of Bulgarian Parliamentary Sessions.

The Bulgarian Event Corpus: Overview and Initial NER Experiments

no code implementations LREC 2022 Petya Osenova, Kiril Simov, Iva Marinova, Melania Berbatova

It will be used for: extracting knowledge and making it available through the Bulgaria-centric Knowledge Graph; further developing an annotation scheme that handles multiple domains in SSH; training automatic modules for the most important knowledge-based tasks, such as domain-specific and nested NER, NEL, event detection and profiling.

Event Detection NER

On the Valency Frames of type Subject-Predicate in Bulgarian

no code implementations CLIB 2020 Petya Osenova

Second, the semantic constraints that are considered here, are limited to a set of semantic roles and build on the lexicographic classes of verbs in WordNet.

Vocal Bursts Type Prediction

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

2 code implementations4 Jun 2023 Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev

We run the first systematic evaluation of pre-trained language models for Bulgarian, comparing and contrasting results across the nine tasks in the benchmark.

Fact Checking named-entity-recognition +5

Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis

no code implementations3 Jul 2022 Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja

Parliamentary and legislative debate transcripts provide informative insight into elected politicians' opinions, positions, and policy preferences.

Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields

no code implementations26 Sep 2021 Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov

The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, locations, and miscellaneous) in news text for Bulgarian.

Miscellaneous named-entity-recognition +2

Reconstructing NER Corpora: a Case Study on Bulgarian

no code implementations LREC 2020 Iva Marinova, Laska Laskova, Petya Osenova, Kiril Simov, Alex Popov, er

The paper reports on the usage of deep learning methods for improving a Named Entity Recognition (NER) training corpus and for predicting and annotating new types in a test corpus.

named-entity-recognition Named Entity Recognition +1

Know Your Graph. State-of-the-Art Knowledge-Based WSD

no code implementations RANLP 2019 Alex Popov, er, Kiril Simov, Petya Osenova

This paper introduces several improvements over the current state of the art in knowledge-based word sense disambiguation.

Word Sense Disambiguation World Knowledge

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition

no code implementations RANLP 2019 Lilia Simeonova, Kiril Simov, Petya Osenova, Preslav Nakov

We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological information.

named-entity-recognition Named Entity Recognition +3

Modeling MWEs in BTB-WN

no code implementations WS 2019 Laska Laskova, Petya Osenova, Kiril Simov, Ivajlo Radev, Zara Kancheva

The paper presents the characteristics of the predominant types of MultiWord expressions (MWEs) in the BulTreeBank WordNet {--} BTB-WN.

Bulgarian-English and English-Bulgarian Machine Translation: System Design and Evaluation

no code implementations RANLP 2017 Petya Osenova, Kiril Simov

The paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions.

Machine Translation Translation

QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages

no code implementations LREC 2016 Arantxa Otegi, Nora Aranberri, Antonio Branco, Jan Haji{\v{c}}, Martin Popel, Kiril Simov, Eneko Agirre, Petya Osenova, Rita Pereira, Jo{\~a}o Silva, Steven Neale

This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference.

Cross-Lingual Transfer Entity Disambiguation +9

The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud

no code implementations LREC 2016 John Philip McCrae, Christian Chiarcos, Francis Bond, Philipp Cimiano, Thierry Declerck, Gerard de Melo, Jorge Gracia, Sebastian Hellmann, Bettina Klimek, Steven Moran, Petya Osenova, Antonio Pareja-Lora, Jonathan Pool

The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.

Constituency Parsing of Bulgarian: Word- vs Class-based Parsing

no code implementations LREC 2014 Masood Ghayoomi, Kiril Simov, Petya Osenova

In this paper, we report the obtained results of two constituency parsers trained with BulTreeBank, an HPSG-based treebank for Bulgarian.

Clustering Constituency Parsing +3

Linguistic Analysis Processing Line for Bulgarian

no code implementations LREC 2012 Aleks Savkov, ar, Laska Laskova, Stanislava Kancheva, Petya Osenova, Kiril Simov

This paper presents a linguistic processing pipeline for Bulgarian including morphological analysis, lemmatization and syntactic analysis of Bulgarian texts.

Language Modelling Lemmatization +5

A Treebank-driven Creation of an OntoValence Verb lexicon for Bulgarian

no code implementations LREC 2012 Petya Osenova, Kiril Simov, Laska Laskova, Stanislava Kancheva

The paper presents a treebank-driven approach to the construction of a Bulgarian valence lexicon with ontological restrictions over the inner participants of the event.

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