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incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages.

, , , and . RANLP, page 810-818. INCOMA Ltd., (2019)

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Weaker Than You Think: A Critical Look at Weakly Supervised Learning., , , , and . ACL (1), page 14229-14253. Association for Computational Linguistics, (2023)Graph-based Argument Quality Assessment., , , and . RANLP, page 1268-1280. INCOMA Ltd., (2021)Fusion Models for Improved Image Captioning., , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 381-395. Springer, (2020)From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP., , , , and . CoRR, (2024)incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages., , , , and . RANLP, page 968-977. INCOMA Ltd., (2021)MCSE: Multimodal Contrastive Learning of Sentence Embeddings., , , , and . NAACL-HLT, page 5959-5969. Association for Computational Linguistics, (2022)On the Security Relevance of Initial Weights in Deep Neural Networks., , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 3-14. Springer, (2020)Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation., , , , and . ACL (Findings), page 12284-12314. Association for Computational Linguistics, (2023)On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines., , and . ICLR, OpenReview.net, (2021)incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages., , , and . RANLP, page 810-818. INCOMA Ltd., (2019)