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Technical University of Crete
Technical University of Crete
EN
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| URI | http://purl.tuc.gr/dl/dias/0F0D0EB7-47FB-4F26-BD99-416540E4B2FD | - |
| Identifier | https://doi.org/10.18653/v1/2021.eacl-srw.4 | - |
| Identifier | https://aclanthology.org/2021.eacl-srw.4/ | - |
| Language | en | - |
| Extent | 7 pages | en |
| Title | PENELOPIE: enabling open information extraction for the Greek language through machine translation | en |
| Creator | Papadopoulos Dimitrios | en |
| Creator | Παπαδοπουλος Δημητριος | el |
| Creator | Papadakis Nikolaos | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Publisher | Association for Computational Linguistics | en |
| Content Summary | In this work, we present a methodology that aims at bridging the gap between high and low-resource languages in the context of Open Information Extraction, showcasing it on the Greek language. The goals of this paper are twofold: First, we build Neural Machine Translation (NMT) models for English-to-Greek and Greek-to-English based on the Transformer architecture. Second, we leverage these NMT models to produce English translations of Greek text as input for our NLP pipeline, to which we apply a series of pre-processing and triple extraction tasks. Finally, we back-translate the extracted triples to Greek. We conduct an evaluation of both our NMT and OIE methods on benchmark datasets and demonstrate that our approach outperforms the current state-of-the-art for the Greek natural language. | en |
| Type of Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-07-10 | - |
| Date of Publication | 2021 | - |
| Subject | Nlp | en |
| Subject | Machine-translation | en |
| Subject | Information-extraction | en |
| Subject | Greek-language | en |
| Subject | Oie-systems | en |
| Bibliographic Citation | D. Papadopoulos, N. Papadakis, and N. Matsatsinis, “PENELOPIE: enabling open information extraction for the Greek language through machine translation,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL 2021), virtual event, 2021, pp. 23–29, doi: 10.18653/v1/2021.eacl-srw.4. | en |
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