• Refine your search:
  • 
    Keyword:
    
    • Computation and Language cs.CL (4)
    • FOS Computer and information sciences (4)
    • Machine Learning cs.LG (3)
    • Artificial Intelligence cs.AI (2)
    • Machine Learning stat.ML (2)
    • Computational Linguistics (1)
    • Condensed Matter Physics (1)
    • Deep Learning (1)
    • Electromagnetism (1)
    • FOS Physical sciences (1)
    •   more
  • 
    Creator / Publisher:
    
    • Minervini, Pasquale (5)
    • Riedel, Sebastian (3)
    • Rocktäschel, Tim (2)
    • Stenetorp, Pontus (2)
    • Augenstein, Isabelle (1)
    • Bošnjak, Matko (1)
    • Demeester, Thomas (1)
    • Dettmers, Tim (1)
    • Errington, David (1)
    • Fisher, Thomas (1)
    •   more
  • 
    Year:
    
    • 2021 (2)
    • 2019 (1)
    • 2018 (2)
  • 
    Medium
  • 
    Type:
    
    • Miscellaneous (4)
    • Article (1)
  • 
    BLLDB-Access:
    • free (5)
    • subject to license (0)

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 Hits 1 – 5 of 5 1 Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models ... Manela, Daniel de Vassimon; Errington, David; Fisher, Thomas; van Breugel, Boris; Minervini, Pasquale. - : arXiv, 2021 Abstract: This paper proposes two intuitive metrics, skew and stereotype, that quantify and analyse the gender bias present in contextual language models when tackling the WinoBias pronoun resolution task. We find evidence that gender stereotype correlates approximately negatively with gender skew in out-of-the-box models, suggesting that there is a trade-off between these two forms of bias. We investigate two methods to mitigate bias. The first approach is an online method which is effective at removing skew at the expense of stereotype. The second, inspired by previous work on ELMo, involves the fine-tuning of BERT using an augmented gender-balanced dataset. We show that this reduces both skew and stereotype relative to its unaugmented fine-tuned counterpart. However, we find that existing gender bias benchmarks do not fully probe professional bias as pronoun resolution may be obfuscated by cross-correlations from other manifestations of gender prejudice. Our code is available online, at ... : Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Neural and Evolutionary Computing cs.NE URL: https://dx.doi.org/10.48550/arxiv.2101.09688 https://arxiv.org/abs/2101.09688 BASE Hide details 2 Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints ... 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; Minervini, Pasquale; Riedel, Sebastian. - : Underline Science Inc., 2021 BASE Show details 3 NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language ... Weber, Leon; Minervini, Pasquale; Münchmeyer, Jannes. - : arXiv, 2019 BASE Show details 4 Jack the Reader - A Machine Reading Framework ... Weissenborn, Dirk; Minervini, Pasquale; Dettmers, Tim. - : arXiv, 2018 BASE Show details 5 Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge ... Minervini, Pasquale; Riedel, Sebastian. - : arXiv, 2018 BASE Show details

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 5 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0