• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2021 (31)
  • 
    Medium:
    
    • Online (31)
  • 
    Type:
    
    • Article (25)
    • Miscellaneous (6)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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 Hits 1 – 20 of 31 1 Translation Error Detection as Rationale Extraction ... Fomicheva, Marina; Specia, Lucia; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 2 Knowledge Distillation for Quality Estimation ... Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : arXiv, 2021 BASE Show details 3 BERTGEN: Multi-task Generation through BERT ... Mitzalis, Faidon; Caglayan, Ozan; Madhyastha, Pranava. - : arXiv, 2021 BASE Show details 4 Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ... Sun, Shuo; El-Kishky, Ahmed; Chaudhary, Vishrav; Cross, James; Guzmán, Francisco; Specia, Lucia. - : arXiv, 2021 Abstract: Sentence-level Quality estimation (QE) of machine translation is traditionally formulated as a regression task, and the performance of QE models is typically measured by Pearson correlation with human labels. Recent QE models have achieved previously-unseen levels of correlation with human judgments, but they rely on large multilingual contextualized language models that are computationally expensive and make them infeasible for real-world applications. In this work, we evaluate several model compression techniques for QE and find that, despite their popularity in other NLP tasks, they lead to poor performance in this regression setting. We observe that a full model parameterization is required to achieve SoTA results in a regression task. However, we argue that the level of expressiveness of a model in a continuous range is unnecessary given the downstream applications of QE, and show that reframing QE as a classification problem and evaluating QE models using classification metrics would better reflect ... : EMNLP 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.08627 https://dx.doi.org/10.48550/arxiv.2109.08627 BASE Hide details 5 A Generative Framework for Simultaneous Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blunsom, Phil; Miao, Yishu. - : Underline Science Inc., 2021 BASE Show details 6 Continual Quality Estimation with Online Bayesian Meta-Learning ... 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; Fomicheva, Marina; Obamuyide, Abiola. - : Underline Science Inc., 2021 BASE Show details 7 SentSim: Crosslingual Semantic Evaluation of Machine Translation ... NAACL 2021 2021; Song, Yurun; Specia, Lucia. - : Underline Science Inc., 2021 BASE Show details 8 Knowledge Distillation for Quality Estimation ... 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; Aletras, Nikolaos; Alva-Manchego, Fernando. - : Underline Science Inc., 2021 BASE Show details 9 BERTGen: Multi-task Generation through BERT ... 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; Caglayan, Ozan; Madhyastha, Pranava. - : Underline Science Inc., 2021 BASE Show details 10 What Makes a Scientific Paper be Accepted for Publication? ... Fytas, Panagiotis; Rizos, Georgios; Specia, Lucia. - : arXiv, 2021 BASE Show details 11 MultiSubs: A Large-scale Multimodal and Multilingual Dataset ... Wang, Josiah; Madhyastha, Pranava; Figueiredo, Josiel. - : arXiv, 2021 BASE Show details 12 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Vaidhya, Tejas; Sachan, Mrinmaya; von Kügelgen, Julius... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 13 Classifying Dyads for Militarized Conflict Analysis Torroba Hennigen, Lucas; Stoehr, Niklas; West, Robert... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 14 Efficient Sampling of Dependency Structure Vieira, Tim; Zmigrod, Ran; Cotterell, Ryan In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 15 Searching for More Efficient Dynamic Programs Cotterell, Ryan; Eisner, Jason; Vieira, Tim In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 16 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding Zhao, Chao; Sachan, Mrinmaya; Tafjord, Oyvind... In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 17 A Bayesian Framework for Information-Theoretic Probing Cotterell, Ryan; Pimentel, Tiago In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 18 Findings of the WMT 2021 Shared Task on Quality Estimation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blain, Frédéric; Chaudhary, Vishrav. - : Underline Science Inc., 2021 BASE Show details 19 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tharindu; Blain, Frédéric. - : Underline Science Inc., 2021 BASE Show details 20 The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Carolina; Alva-Manchego, Fernando. - : Underline Science Inc., 2021 BASE Show details Page: 1 2

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 31 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0