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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 129 1 Delving Deeper into Cross-lingual Visual Question Answering ... Liu, Chen; Pfeiffer, Jonas; Korhonen, Anna. - : arXiv, 2022 BASE Show details 2 Combating Temporal Drift in Crisis with Adapted Embeddings ... Stowe, Kevin; Gurevych, Iryna. - : arXiv, 2021 BASE Show details 3 Annotation Curricula to Implicitly Train Non-Expert Annotators ... Lee, Ji-Ung; Klie, Jan-Christoph; Gurevych, Iryna. - : arXiv, 2021 Abstract: Annotation studies often require annotators to familiarize themselves with the task, its annotation scheme, and the data domain. This can be overwhelming in the beginning, mentally taxing, and induce errors into the resulting annotations; especially in citizen science or crowd sourcing scenarios where domain expertise is not required and only annotation guidelines are provided. To alleviate these issues, we propose annotation curricula, a novel approach to implicitly train annotators. Our goal is to gradually introduce annotators into the task by ordering instances that are annotated according to a learning curriculum. To do so, we first formalize annotation curricula for sentence- and paragraph-level annotation tasks, define an ordering strategy, and identify well-performing heuristics and interactively trained models on three existing English datasets. We then conduct a user study with 40 voluntary participants who are asked to identify the most fitting misconception for English tweets about the Covid-19 ... : Accepted to Computational Linguistics ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2106.02382 https://arxiv.org/abs/2106.02382 BASE Hide details 4 Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation ... Ribeiro, Leonardo F. R.; Pfeiffer, Jonas; Zhang, Yue. - : arXiv, 2021 BASE Show details 5 xGQA: Cross-Lingual Visual Question Answering ... Pfeiffer, Jonas; Geigle, Gregor; Kamath, Aishwarya. - : arXiv, 2021 BASE Show details 6 BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models ... Thakur, Nandan; Reimers, Nils; Rücklé, Andreas. - : arXiv, 2021 BASE Show details 7 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning ... Utama, Prasetya Ajie; Moosavi, Nafise Sadat; Sanh, Victor. - : arXiv, 2021 BASE Show details 8 Metaphor Generation with Conceptual Mappings ... Stowe, Kevin; Chakrabarty, Tuhin; Peng, Nanyun. - : arXiv, 2021 BASE Show details 9 GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval ... Wang, Kexin; Thakur, Nandan; Reimers, Nils. - : arXiv, 2021 BASE Show details 10 Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs Ribeiro, Leonardo,; Zhang, Yue; Gardent, Claire... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03020314 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2020, 8, ⟨10.1162/tacl_a_00332⟩ (2020) BASE Show details 11 Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation ... Reimers, Nils; Gurevych, Iryna. - : arXiv, 2020 BASE Show details 12 How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation ... Eger, Steffen; Daxenberger, Johannes; Gurevych, Iryna. - : arXiv, 2020 BASE Show details 13 MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ... Pfeiffer, Jonas; Vulić, Ivan; Gurevych, Iryna. - : arXiv, 2020 BASE Show details 14 Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning ... Miller, Tristan; Dinh, Erik-Lân Do; Simpson, Edwin. - : arXiv, 2020 BASE Show details 15 How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ... Rust, Phillip; Pfeiffer, Jonas; Vulić, Ivan. - : arXiv, 2020 BASE Show details 16 UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ... Pfeiffer, Jonas; Vulić, Ivan; Gurevych, Iryna. - : arXiv, 2020 BASE Show details 17 PuzzLing Machines: A Challenge on Learning From Small Data ... Şahin, Gözde Gül; Kementchedjhieva, Yova; Rust, Phillip. - : arXiv, 2020 BASE Show details 18 A Matter of Framing: The Impact of Linguistic Formalism on Probing Results ... Kuznetsov, Ilia; Gurevych, Iryna. - : arXiv, 2020 BASE Show details 19 Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs ... Ribeiro, Leonardo F. R.; Zhang, Yue; Gardent, Claire. - : arXiv, 2020 BASE Show details 20 Empowering Active Learning to Jointly Optimize System and User Demands ... Lee, Ji-Ung; Meyer, Christian M.; Gurevych, Iryna. - : arXiv, 2020 BASE Show details Page: 1 2 3 4 5...7

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