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Optimizing a portfolio of agri-environmental investments ...
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“Institution” and “institute”: tendency to the “false substitution” of concepts ...
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Delving Deeper into Cross-lingual Visual Question Answering ...
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Testing the interface hypothesis: the acquisition of English indirect questions by L1 speakers of Omani Arabic
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In: Heliyon (2022)
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Geschichte der Brille : Verfahren der Herstellung von Brillenfassungen aus Celluloseacetat : Terminologiearbeit im Sprachpaar Italienisch – Deutsch, Deutsch – Italienisch
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Kloster, Iryna [Verfasser]. - Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2021
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DNB Subject Category Language
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Combating Temporal Drift in Crisis with Adapted Embeddings ...
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The concept of security in the integration processes of the European union countries ...
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The concept of security in the integration processes of the European union countries ...
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Ideas Challenge 2020/2021 : WikiData Integration with Repository Contents ...
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Ideas Challenge 2020/2021 : WikiData Integration with Repository Contents ...
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Annotation Curricula to Implicitly Train Non-Expert Annotators ...
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Lesia Ukrainka in the Global Information Space: Case-Study of the Audio Guide Creation for the Lesia Ukrainka Museum ...
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Lesia Ukrainka in the Global Information Space: Case-Study of the Audio Guide Creation for the Lesia Ukrainka Museum ...
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Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation ...
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Abstract:
Recent work on multilingual AMR-to-text generation has exclusively focused on data augmentation strategies that utilize silver AMR. However, this assumes a high quality of generated AMRs, potentially limiting the transferability to the target task. In this paper, we investigate different techniques for automatically generating AMR annotations, where we aim to study which source of information yields better multilingual results. Our models trained on gold AMR with silver (machine translated) sentences outperform approaches which leverage generated silver AMR. We find that combining both complementary sources of information further improves multilingual AMR-to-text generation. Our models surpass the previous state of the art for German, Italian, Spanish, and Chinese by a large margin. ... : Accepted as a conference paper to EMNLP 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2109.03808 https://dx.doi.org/10.48550/arxiv.2109.03808
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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ...
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The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes ...
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Investigating label suggestions for opinion mining in German Covid-19 social media ...
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