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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...18 Hits 1 – 20 of 360 1 Graph Neural Networks for Multiparallel Word Alignment ... Imani, Ayyoob; Şenel, Lütfi Kerem; Sabet, Masoud Jalili. - : arXiv, 2022 BASE Show details 2 CaMEL: Case Marker Extraction without Labels ... Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili. - : arXiv, 2022 BASE Show details 3 Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ... Maronikolakis, Antonis; Wisiorek, Axel; Nann, Leah. - : arXiv, 2022 BASE Show details 4 Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ... Karn, Sanjeev Kumar; Liu, Ning; Schuetze, Hinrich; Farri, Oladimeji. - : arXiv, 2022 Abstract: The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist's reasoning and conclusions, and it also aids the referring physician in confirming or excluding certain diagnoses. A cascade of tasks are required to automatically generate an abstractive summary of the typical information-rich radiology report. These tasks include acquisition of salient content from the report and generation of a concise, easily consumable IMPRESSIONS section. Prior research on radiology report summarization has focused on single-step end-to-end models -- which subsume the task of salient content acquisition. To fully explore the cascade structure and explainability of radiology report summarization, we introduce two innovations. First, we design a two-step approach: extractive summarization followed by abstractive summarization. Second, we additionally break down the extractive part into two independent tasks: extraction of salient (1) sentences and (2) keywords. Experiments on a publicly ... : Accepted at 60th Annual Meeting of the Association for Computational Linguistics 2022 Main Conference ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2203.08257 https://dx.doi.org/10.48550/arxiv.2203.08257 BASE Hide details 5 Geographic Adaptation of Pretrained Language Models ... Hofmann, Valentin; Glavaš, Goran; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 6 Distributed representations for multilingual language processing Dufter, Philipp [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021 DNB Subject Category Language Show details 7 Domain adaptation in Natural Language Processing Sedinkina, Marina [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021 DNB Subject Category Language Show details 8 Combining contextualized and non-contextualized embeddings for domain adaptation and beyond Pörner, Nina Mareike [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021 DNB Subject Category Language Show details 9 Graph Algorithms for Multiparallel Word Alignment Imani, Ayyoob; Sabet, Masoud,; Keremşenel, Lütfi... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021) BASE Show details 10 Static Embeddings as Efficient Knowledge Bases? ... Dufter, Philipp; Kassner, Nora; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 11 Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models ... Senel, Lutfi Kerem; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 12 Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 13 Discrete and Soft Prompting for Multilingual Models ... Zhao, Mengjie; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 14 ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ... Imani, Ayyoob; Sabet, Masoud Jalili; Dufter, Philipp. - : arXiv, 2021 BASE Show details 15 Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models ... Kassner, Nora; Dufter, Philipp; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 16 Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages ... Maronikolakis, Antonis; Dufter, Philipp; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 17 Graph Algorithms for Multiparallel Word Alignment ... Imani, Ayyoob; Sabet, Masoud Jalili; Şenel, Lütfi Kerem. - : arXiv, 2021 BASE Show details 18 Locating Language-Specific Information in Contextualized Embeddings ... Liang, Sheng; Dufter, Philipp; Schütze, Hinrich. - : arXiv, 2021 BASE Show details 19 Dynamic Contextualized Word Embeddings ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 20 Measuring and Improving Consistency in Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Elazar, Yanai; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...18

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