Giedrė Valūnaitė Oleškevičienė
Biographic Data
| ID | 1175635 |
|---|---|
| NAME | Giedrė Valūnaitė Oleškevičienė |
| GIVEN NAMES | Giedrė Valūnaitė |
| FAMILY NAME | Oleškevičienė |
| SIGNATURE | OLEŠKEVIČIENĖ G V |
| AFFILIATIONS | Mykolas Romeris University |
| ORCID | 0000-0001-5688-2469 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Questions in monologues
The present study analyzes the types of interrogative, such as yes/no questions, wh-questions, or alternative questions, and their semantic and pragmatic functions in a multilingual parallel corpus of spoken monologues extracted from the TED Talks transcripts in five languages: English, European Portuguese, Lithuanian, Bulgarian, and Hebrew. The corpus was developed with English as the pivot language, and the examples are aligned in all five lang…
Multiword Discourse Markers Across Languages
Discourse markers (DMs) are linguistic expressions that convey different semantic and pragmatic values, managing and organizing the structure of spoken and written discourses. They can be either single‐word or multiword expressions (MWE), made up of conjunctions, adverbs, and prepositional phrases. Although DMs are the focus of many studies, some questions regarding the interoperability of taxonomies and automatic identification and classificatio…
Implicit offensive language taxonomy
The aim of this paper is to present a proposal of implicitness typology. The theoretical model we propose is compliant with neo-Gricean pragmatics and is explicitly designed to cover instances of offensive language on social media. The implicitness framework we propound has been empirically verified by means of a corpus-assisted analysis and computational method of word embeddings (Word2Vec and FastText), which, in principle, have supported the s…
LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications
The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categor…
An integrated explicit and implicit offensive language taxonomy
The current study represents an integrated model of explicit and implicit offensive language taxonomy. First, it focuses on a definitional revision and enrichment of the explicit offensive language taxonomy by reviewing the collection of available corpora and comparing tagging schemas applied there. The study relies mainly on the categories originally proposed by Zampieri et al. (2019) in terms of offensive language categorization schemata. After…
Offensive language in user-generated comments in Lithuanian
The aim of the current research is to investigate the feasibility of identifying offensive language in Lithuanian by utilising the Simplified Offensive Language Taxonomy (SOLT). The key principle behind this taxonomy is its ability to complement existing offensive language ontologies and tagset systems, with the ultimate goal of integrating it into publicly accessible Linguistic Linked Open Data (LLOD) resources. The dataset used in the current s…
Explicitness and implicitness of discourse relations in a multilingual discourse bank
Proposals such as continuity and causality-by-default relate the level of expectedness of a relation to its linguistic marking as an explicit or implicit relation. We investigate these two proposals with regard to the English transcripts of six TED Talks and their Lithuanian, Portuguese and Turkish translations in the TED-Multilingual Discourse Bank (TED-MDB), annotated for discourse relations, following the Penn Discourse Treebank style of annot…
An Exploratory Analysis of TED Talks in English and Lithuanian, Portuguese and Turkish Translations
This paper contributes to the question of how discourse relations are realised in TED talks. Drawing on an annotated, multilingual discourse corpus of TED talk transcripts, we examine discourse relations in English and Lithuanian, Portuguese and Turkish translations by concentrating on three aspects: the degree of explicitness in discourse relations, the extent to which explicit and implicit relations are encoded inter- or intra-sententially, and…
Social Media Use in University Studies
Social Media Use in University Studies
Functions and translations of discourse markers in TED Talks
Evoking Teacher Creativity While Using Social Media / Dėstytojų Kūrybiškumo Sužadinimas Naudojant Socialines Medijas
Recently a question whether good teaching is creative teaching has been widely discussed however little attention has been paid to creative teachers themselves who face a challenge to teach with, through or for the creativity. The article stresses the importance of creativity in higher education and explores the expression of teacher creativity while using social media in university studies. The research is based on Hans-Georg Gadamer’s philosoph…
Evoking Teacher Creativity While Using Social Media / Dėstytojų Kūrybiškumo Sužadinimas Naudojant Socialines Medijas
Recently a question whether good teaching is creative teaching has been widely discussed however little attention has been paid to creative teachers themselves who face a challenge to teach with, through or for the creativity. The article stresses the importance of creativity in higher education and explores the expression of teacher creativity while using social media in university studies. The research is based on Hans-Georg Gadamer’s philosoph…
Functions and translations of discourse markers in TED Talks
Social Media Use in University Studies
Social Media Use in University Studies
An Exploratory Analysis of TED Talks in English and Lithuanian, Portuguese and Turkish Translations
This paper contributes to the question of how discourse relations are realised in TED talks. Drawing on an annotated, multilingual discourse corpus of TED talk transcripts, we examine discourse relations in English and Lithuanian, Portuguese and Turkish translations by concentrating on three aspects: the degree of explicitness in discourse relations, the extent to which explicit and implicit relations are encoded inter- or intra-sententially, and…
LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications
The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categor…
An integrated explicit and implicit offensive language taxonomy
The current study represents an integrated model of explicit and implicit offensive language taxonomy. First, it focuses on a definitional revision and enrichment of the explicit offensive language taxonomy by reviewing the collection of available corpora and comparing tagging schemas applied there. The study relies mainly on the categories originally proposed by Zampieri et al. (2019) in terms of offensive language categorization schemata. After…
Offensive language in user-generated comments in Lithuanian
The aim of the current research is to investigate the feasibility of identifying offensive language in Lithuanian by utilising the Simplified Offensive Language Taxonomy (SOLT). The key principle behind this taxonomy is its ability to complement existing offensive language ontologies and tagset systems, with the ultimate goal of integrating it into publicly accessible Linguistic Linked Open Data (LLOD) resources. The dataset used in the current s…
Explicitness and implicitness of discourse relations in a multilingual discourse bank
Proposals such as continuity and causality-by-default relate the level of expectedness of a relation to its linguistic marking as an explicit or implicit relation. We investigate these two proposals with regard to the English transcripts of six TED Talks and their Lithuanian, Portuguese and Turkish translations in the TED-Multilingual Discourse Bank (TED-MDB), annotated for discourse relations, following the Penn Discourse Treebank style of annot…
Implicit offensive language taxonomy
The aim of this paper is to present a proposal of implicitness typology. The theoretical model we propose is compliant with neo-Gricean pragmatics and is explicitly designed to cover instances of offensive language on social media. The implicitness framework we propound has been empirically verified by means of a corpus-assisted analysis and computational method of word embeddings (Word2Vec and FastText), which, in principle, have supported the s…
Questions in monologues
The present study analyzes the types of interrogative, such as yes/no questions, wh-questions, or alternative questions, and their semantic and pragmatic functions in a multilingual parallel corpus of spoken monologues extracted from the TED Talks transcripts in five languages: English, European Portuguese, Lithuanian, Bulgarian, and Hebrew. The corpus was developed with English as the pivot language, and the examples are aligned in all five lang…
Multiword Discourse Markers Across Languages
Discourse markers (DMs) are linguistic expressions that convey different semantic and pragmatic values, managing and organizing the structure of spoken and written discourses. They can be either single‐word or multiword expressions (MWE), made up of conjunctions, adverbs, and prepositional phrases. Although DMs are the focus of many studies, some questions regarding the interoperability of taxonomies and automatic identification and classificatio…
Computer Science (9 works) · Linguistics (8 works) · Artificial Intelligence (6 works) · Philosophy (5 works) · Psychology (5 works) · Sociology (5 works) · Annotation (4 works) · Hate Speech and Cyberbullying Detection (4 works) · Natural language processing (4 works) · Offensive (4 works)