Papers by Jelena Mitrović
GRhOOT: Ontology of Rhetorical Figures in German (2022.lrec-1)
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| Challenge: | GRhOOT is a domain ontology of rhetorical figures in the German language . the goal is to allow for easier detection of non-literal language based tasks . |
| Approach: | GRhOOT is a domain ontology of 110 rhetorical figures in the german language . the goal is to allow for easier detection and sentiment analysis . |
| Outcome: | The ontology of rhetorical figures in the German language is based on 110 rhetorical figure domains . the goal is to make the ontologies more accurate and to allow for easier detection . |
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation (2023.findings-emnlp)
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| Challenge: | Empirical results show that our proposed approach outperforms the state-of-the-art methods by maintaining higher performance on most benchmark datasets. |
| Approach: | They propose to break down the global feature distillation task into N local sub-tasks and make each focused sub-student learn from one specialized sub-teacher. |
| Outcome: | The proposed method outperforms state-of-the-art methods on most benchmark datasets while maintaining higher performance. |
Language Proficiency Scoring (2020.lrec-1)
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| Challenge: | a new paper evaluates and extends the results of an automated proficiency classification system for different languages. |
| Approach: | They propose to extend an automated essay scoring system proposed by CEFR . they compare results with those from previous paper and add a new corpus for english . |
| Outcome: | The proposed approach does not scale well with the added English corpus. |
Using Pre-Trained Language Models in an End-to-End Pipeline for Antithesis Detection (2024.lrec-main)
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| Challenge: | Rhetorical figures are a "departure from the normal usage" of language . features of metaphors, irony and sarcasm enhance performance of several NLP tasks. |
| Approach: | They propose a pipeline approach to detect rhetorical figures using large language models by splitting text into phrases and identifying parallel phrases with a syntactically parallel structure. |
| Outcome: | The proposed approach outperforms state-of-the-art methods by an F1 score of 65.11 %. |
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration (2025.coling-main)
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| Challenge: | Rhetorical figures are used to convey subtle, implicit meanings or to emphasize statements. |
| Approach: | They propose a web application that facilitates the identification and annotation of German rhetorical figures. |
| Outcome: | The proposed application improves the user experience with Retrieval Augmented Generation (RAG). |
I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language (2020.lrec-1)
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| Challenge: | Recent literature suggests different approaches to identify abusive language phenomena . however, there is a lack of data sets that take into account the degree of explicitness . |
| Approach: | They propose to use annotation guidelines to distinguish between explicit and implicit abuse in English and apply them to OLID/OffensEval. |
| Outcome: | The proposed tool distinguishes between explicit and implicit abuse in English and takes into account the degree of explicitness. |