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Collection : Aalborg University (Aau) Subject : computer.software_genre Subject : natural language processing Filter by : Subject

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Academic Journal

Social impacts reflected in CSR reports:Method of extraction and link to firms innovation capacity

Authors : Nechaev, Ivan; Hain, Daniel S.

Subjects: Social impact; Corporate social responsibility (CSR) report; Global Reporting Initiative (GRI)

Source: Nechaev , I & Hain , D S 2023 , ' Social impacts reflected in CSR reports : Method of extraction and link to firms innovation capacity ' , Journal of Cleaner Production , vol. 429 , 139256 .

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Academic Journal

Does Typological Blinding Impede Cross-Lingual Sharing?

Authors : Bjerva, Johannes; Augenstein, Isabelle;

Subjects: Natural Language Processing; Machine Learning; Computational Linguistics

Source: Bjerva , J & Augenstein , I 2021 , Does Typological Blinding Impede Cross-Lingual Sharing? in P Merlo , J Tiedemann & R Tsarfaty (eds) , Proceedings of the 15th Conference of the European Chapter of

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Academic Journal

Zero-Shot Cross-Lingual Transfer with Meta Learning

Authors : Nooralahzadeh, Farhad; Bekoulis, Giannis; Bjerva, Johannes

Subjects: Natural Language Processing; Machine Learning

Source: Nooralahzadeh , F , Bekoulis , G , Bjerva , J & Augenstein , I 2020 , Zero-Shot Cross-Lingual Transfer with Meta Learning . in Proceedings of the 2020 Conference on

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News

Unsupervised Evaluation for Question Answering with Transformers

Authors : Muttenthaler, Lukas; Augenstein, Isabelle; Bjerva, Johannes

Subjects: Natural Language Processing; Machine Learning

Source: Muttenthaler , L , Augenstein , I & Bjerva , J 2020 , Unsupervised Evaluation for Question Answering with Transformers . in Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting

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News

SubjQA:A Dataset for Subjectivity and Review Comprehension

Authors : Bjerva, Johannes; Bhutani, Nikita; Golshan, Behzad

Subjects: Natural Language Processing; Machine Learning

Source: Bjerva , J , Bhutani , N , Golshan , B , Tan , W-C & Augenstein , I 2020 , SubjQA : A Dataset for Subjectivity and Review Comprehension . in Proceedings of the 2020 Conference on Empirical Methods in

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