Papers by Artem Revenko
Recent Developments for the Linguistic Linked Open Data Infrastructure (2020.lrec-1)
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Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
| Challenge: | Language data is rarely 'ready-to-use' and language technology specialists spend over 80% of their time cleaning, organizing and collecting language datasets. |
| Approach: | They propose a methodology for building data value chains based around language resources and language technologies that can be integrated by means of semantic technologies. |
| Outcome: | The proposed methodology is based on language resources and language technologies that can be integrated by means of semantic technologies. |
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context (2021.eacl-main)
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| Challenge: | Existing benchmarks for Word Sense Disambiguation are limited to those systems in which sense distinctions are defined according to an underlying sense inventory. |
| Approach: | They propose a framework for Target Sense Verification of Words in Context which grounds its uniqueness as binary classification task and independent of external sense inventories. |
| Outcome: | The proposed framework is highly flexible for evaluation of diverse models and systems in and across domains. |
WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis (2022.lrec-1)
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| Challenge: | Target Sense Verification is a binary disambiguation task that requires a sense-inventory-independent model to be developed. |
| Approach: | They propose a multi-domain dataset for German Target Sense Verification . they use a domain-independent instance to train and develop sense-inventory-independence models . |
| Outcome: | The proposed model fails to solve the German target Sense Verification dataset . the multi-domain dataset contains domain-bound subsets from four different domains . |
Orchestrating NLP Services for the Legal Domain (2020.lrec-1)
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Julian Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza
| Challenge: | a legal technology system under development in the EU is based on semantic services and a multilingual legal knowledge Graph. |
| Approach: | They propose a workflow manager that enables flexible orchestration of workflows . they describe different use cases and propose prototypical solutions . |
| Outcome: | The proposed system is based on a set of natural language processing and document curation services and a multilingual legal knowledge graph that contains semantic information and meaningful references to legal documents. |