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Linguistic resources for paraphrase generation in Portuguese: a Lexicon-Grammar approach
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03548861 ; Language Resources and Evaluation, Springer Verlag, 2022, ⟨10.1007/s10579-021-09561-5⟩ ; https://link.springer.com/article/10.1007/s10579-021-09561-5 (2022)
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ГЕНДЕРНЫЙ АСПЕКТ ЯЗЫКА БЛОГОСФЕРЫ ... : GENDER ASPECT OF THE LANGUAGE OF THE BLOGOSPHERE ...
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Automatic Construction of Fine-Grained Paraphrase Corpora System Using Language Inference Model
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In: Applied Sciences; Volume 12; Issue 1; Pages: 499 (2022)
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MTS-Stega: Linguistic Steganography Based on Multi-Time-Step
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In: Entropy; Volume 24; Issue 5; Pages: 585 (2022)
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Realistic Image Generation from Text by Using BERT-Based Embedding
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In: Electronics; Volume 11; Issue 5; Pages: 764 (2022)
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Controlled Generation of Stylized Text Using Semantic and Phonetic Representations
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Text Generation with and without Retrieval ; Génération de textes basés sur la connaissance avec et sans recherche
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In: https://hal.univ-lorraine.fr/tel-03542634 ; Computer Science [cs]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0164⟩ (2021)
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Natural Language Generation : From Data Creation to Evaluation via Modelling ; Génération en langue naturelle : de la création des données à l'évaluation, en passant par la modélisation
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In: https://hal.univ-lorraine.fr/tel-03254708 ; Computation and Language [cs.CL]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0080⟩ (2021)
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Utilising knowledge graph embeddings for data-to-text generation
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Abstract:
Data-to-text generation has recently seen a move away from modular and pipeline architectures towards end-to-end architectures based on neural networks. In this work, we employ knowledge graph embeddings and explore their utility for end-to-end approaches in a data-to-text generation task. Our experiments show that using knowledge graph embeddings can yield an improvement of up to 2 3 BLEU points for seen categories on the WebNLG corpus without modifying the underlying neural network architecture. ; This work was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Artificial Intelligence under Grant No. 18/CRT/6223 and co-supported by Science Foundation Ireland under grant number SFI/12/RC/2289 2 (Insight), co-funded by the European Regional Development Fund. ; peer-reviewed
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Keyword:
Data-to-Text Generation; Knowledge Graph Embeddings; WebNLG
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URL: http://hdl.handle.net/10379/16526
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NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation
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Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy ...
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Building the Directed Semantic Graph for Coherent Long Text Generation ...
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Graphine: A Dataset for Graph-aware Terminology Definition Generation ...
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Error-Sensitive Evaluation for Ordinal Target Variables ...
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Data-to-text Generation by Splicing Together Nearest Neighbors ...
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End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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