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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 Hits 1 – 20 of 28 1 Data-to-text generation with neural planning Puduppully, Ratish Surendran. - : The University of Edinburgh, 2022 BASE Show details 2 Intrinsic Bias Metrics Do Not Correlate with Application Bias ... 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; Goldfarb-Tarrant, Seraphina; Lopez, Adam; Marchant, Rebecca; Muñoz Sánchez, Ricardo; Pandya, Mugdha. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.150 Abstract: Natural Language Processing (NLP) systems learn harmful societal biases that cause them to amplify inequality as they are deployed in more and more situations. To guide efforts at debiasing these systems, the NLP community relies on a variety of metrics that quantify bias in models. Some of these metrics are intrinsic, measuring bias in word embedding spaces, and some are extrinsic, measuring bias in downstream tasks that the word embeddings enable. Do these intrinsic and extrinsic metrics correlate with each other? We compare intrinsic and extrinsic metrics across hundreds of trained models covering different tasks and experimental conditions. Our results show no reliable correlation between these metrics that holds in all scenarios across tasks and languages. We urge researchers working on debiasing to focus on extrinsic measures of bias, and to make using these measures more feasible via creation of new challenge sets and annotated test ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25464-intrinsic-bias-metrics-do-not-correlate-with-application-bias https://dx.doi.org/10.48448/eg2c-0d56 BASE Hide details 3 Training dynamics of neural language models Saphra, Naomi. - : The University of Edinburgh, 2021 BASE Show details 4 Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals ... McCurdy, Kate; Goldwater, Sharon; Lopez, Adam. - : arXiv, 2020 BASE Show details 5 Understanding and generating language with abstract meaning representation Damonte, Marco. - : The University of Edinburgh, 2020 BASE Show details 6 On understanding character-level models for representing morphology Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 7 Methods for morphology learning in low(er)-resource scenarios Bergmanis, Toms. - : The University of Edinburgh, 2020 BASE Show details 8 Modelling speaker adaptation in second language learner dialogue Sinclair, Arabella Jane. - : The University of Edinburgh, 2020 BASE Show details 9 Semantic Graph Parsing with Recurrent Neural Network DAG Grammars ... Fancellu, Federico; Gilroy, Sorcha; Lopez, Adam. - : arXiv, 2019 BASE Show details 10 Lifecycle of neural semantic parsing Cheng, Jianpeng. - : The University of Edinburgh, 2019 BASE Show details 11 Fast machine translation on parallel and massively parallel hardware Bogoychev, Nikolay Veselinov. - : The University of Edinburgh, 2019 BASE Show details 12 Learning natural language interfaces with neural models Dong, Li. - : The University of Edinburgh, 2019 BASE Show details 13 Probabilistic graph formalisms for meaning representations Gilroy, Sorcha. - : The University of Edinburgh, 2019 BASE Show details 14 Low-resource speech translation Bansal, Sameer. - : The University of Edinburgh, 2019 BASE Show details 15 Indicatements that character language models learn English morpho-syntactic units and regularities ... Kementchedjhieva, Yova; Lopez, Adam. - : arXiv, 2018 BASE Show details 16 Neural Networks for Cross-lingual Negation Scope Detection ... Fancellu, Federico; Lopez, Adam; Webber, Bonnie. - : arXiv, 2018 BASE Show details 17 Understanding Learning Dynamics Of Language Models with SVCCA ... Saphra, Naomi; Lopez, Adam. - : arXiv, 2018 BASE Show details 18 Entity-based coherence in statistical machine translation: a modelling and evaluation perspective Wetzel, Dominikus Emanuel. - : The University of Edinburgh, 2018 BASE Show details 19 Computational models for multilingual negation scope detection Fancellu, Federico. - : The University of Edinburgh, 2018 BASE Show details 20 CoNLL 2017 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details Page: 1 2

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