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Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks.

, , и . Canadian AI, том 11489 из Lecture Notes in Computer Science, стр. 563-569. Springer, (2019)

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Predicting and interpreting embeddings for out of vocabulary words in downstream tasks., , и . CoRR, (2019)Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations., , , и . CoRR, (2019)Re-Framing Case Law Citation Prediction from a Paragraph Perspective., , , , и . JURIX, том 379 из Frontiers in Artificial Intelligence and Applications, стр. 323-328. IOS Press, (2023)Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks., , и . Canadian AI, том 11489 из Lecture Notes in Computer Science, стр. 563-569. Springer, (2019)A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well., , , , и . CoRR, (2019)Word Order and World Knowledge., , , и . CoRR, (2024)A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well., , , , и . LREC, стр. 5546-5554. European Language Resources Association, (2020)Plum2Text: a french plumitifs-descriptions data-to-text dataset for natural language generation., , , и . ICAIL, стр. 200-204. ACM, (2021)Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation., и . INLG, стр. 1-14. Association for Computational Linguistics, (2023)Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations., , , , , и . INLG, стр. 15-21. Association for Computational Linguistics, (2020)