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--- |
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language: |
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- ru |
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--- |
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Russian GPT2-medium model for RDF-triplet to text conversion. |
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``` |
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@inproceedings{blinov-2020-semantic, |
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title = "Semantic Triples Verbalization with Generative Pre-Training Model", |
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author = "Blinov, Pavel", |
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booktitle = "Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)", |
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month = "12", |
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year = "2020", |
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address = "Dublin, Ireland (Virtual)", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2020.webnlg-1.17", |
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pages = "154--158", |
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abstract = "The paper devoted to the problem of automatic text generation from RDF triples. This problem was formalized and proposed as a part of the 2020 WebNLG challenge. We describe our approach to the RDF-to-text generation task based on a neural network model with the Generative Pre-Training (GPT-2) architecture. In particular, we outline a way of base GPT-2 model conversion to a model with language and classification heads and discuss the text generation methods. To research the parameters{'} influence on the end-task performance a series of experiments was carried out. We report the result metrics and conclude with possible improvement directions.", |
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} |
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``` |
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