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Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings.

, , and . INTERSPEECH, page 1876-1880. ISCA, (2022)

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Separating Brands from Types: an Investigation of Different Features for the Food Domain., and . COLING, page 2291-2302. ACL, (2014)To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning., , , and . EMNLP (1), page 8744-8753. Association for Computational Linguistics, (2021)MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition., , , , , , , , , and 35 other author(s). EMNLP, page 4488-4508. Association for Computational Linguistics, (2022)Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels., , and . EMNLP/IJCNLP (1), page 3552-3557. Association for Computational Linguistics, (2019)Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator., , , and . EMNLP/IJCNLP (1), page 3760-3771. Association for Computational Linguistics, (2019)Some steps towards the generation of diachronic WordNets., , , and . NODALIDA, page 55-64. Linköping University Electronic Press, (2019)The Role of Knowledge-based Features in Polarity Classification at Sentence Level., and . FLAIRS, AAAI Press, (2009)Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension., , , , and . LREC, page 7368-7376. European Language Resources Association, (2022)Selecting articles from the language model training corpus.. ICASSP, page 1695-1698. IEEE, (2000)FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations., , , and . EMNLP (1), page 8382-8395. Association for Computational Linguistics, (2021)