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1
Comic Spin: A Comic Creation Tool Enabling Self-Expression for People with Aphasia
Tamburro, C.; Neate, T.; Roper, A.. - : Association for Computing Machinery (ACM), 2022
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2
Modelling Group Dynamics with SYMLOG and Snowdrift for Intelligent Classroom Environment
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3
OWL2Vec*: Embedding of OWL Ontologies
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4
ASSETS 2020 UX Panel Report: “Lockdown Experiences”
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5
“Just Not Together”: The Experience of Videoconferencing for People with Aphasia during the Covid-19 Pandemic
Neate, T.; Kladouchou, V.; Wilson, S.. - : Association for Computing Machinery, 2021
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6
OWL2Vec*: Embedding of OWL ontologies
Chen, J.; Hu, P.; Jimenez-Ruiz, E.. - : Springer Verlag, 2021
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7
Syllable Neural Language Models for English Poem Generation
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8
A Framework for Quality Assessment of Semantic Annotations of Tabular Data
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9
Delivering group support for people with aphasia in a virtual world: experiences of service providers
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10
Anti-transfer learning for task invariance in convolutional neural networks for speech processing
Guizzo, E.; Weyde, T.; Tarroni, G.. - : Elsevier, 2021
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11
Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing
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12
A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings ...
Leoni, Tomaso Aurelio Domenico. - : Frontiers, 2021
Abstract: Publicly available off-the-shelf word embeddings that are often used in productive applications for natural language processing have been proven to be biased. We have previously shown that this bias can come in a different form, depending on the language and the cultural context. In this work we extend our previous work and further investigate how bias varies in different languages. We examine Italian and Swedish word embeddings for gender and origin bias, and demonstrate how an origin bias concerning local migration groups in Switzerland is included in German word embeddings. We propose BiasWords, a method to automatically detect new forms of bias. Finally, we discuss how cultural and language aspects are relevant to the impact of bias on the application, and to potential mitigation measures. ...
Keyword: QA75 Electronic computers. Computer science; QA76 Computer software
URL: https://arbor.bfh.ch/14815/
https://dx.doi.org/10.24451/arbor.14815
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13
Calculating the optimal step of arc-eager parsing for non-projective trees
Nederhof, Mark Jan. - : Association for Computational Linguistics, 2021
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14
Few-shot linguistic grounding of visual attributes and relations using gaussian kernels
Koudouna, Daniel; Terzić, Kasim. - : SCITEPRESS - Science and Technology Publications, 2021
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15
Automated detection of Hainan gibbon calls for passive acoustic monitoring
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16
Exploring the characteristics of abusive behaviour in online social media settings
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17
Deep Scattering and End-to-End Speech Models towards Low Resource Speech Recognition
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18
Framework for Composition of Domain Specific Languages and the Effect of Composition on Re-use of Translation Rules
Kihlman, LZ. - 2021
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19
Superstar to Superhuman: Scarlett Johansson, an ‘Ideal’ Embodiment of the Posthuman Female in Science Fiction and Media?
Kidd, Abby Lauren. - : Cardiff University Press, 2021
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20
Qualitative-geometric ‘surrounds’ relations between disjoint regions
Worboys, Michael; Duckham, Matt. - : Taylor and Francis, 2021
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