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Literary linguistics: Open Access research in English language

Strathprints makes available Open Access scholarly outputs by English Studies at Strathclyde. Particular research specialisms include literary linguistics, the study of literary texts using techniques drawn from linguistics and cognitive science.

The team also demonstrates research expertise in Renaissance studies, researching Renaissance literature, the history of ideas and language and cultural history.

Explore some of this Open Access research from English. Or explore all Strathclyde Open Access research...

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Jump to: 2022 | 2021 | 2020
Number of items: 9.

2022

Nicol, Emma and Briggs, Jo and Moncur, Wendy and Htait, Amal and Carey, Daniel and Azzopardi, Leif and Schafer, Burkhard (2022) Revealing cumulative risks in online personal information : a data narrative study. In: The 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2022-11-12 - 2022-11-16, Taipei International Convention Center (TICC). (In Press)

Nicol, Emma and Briggs, Jo and Moncur, Wendy and Htait, Amal and Carey, Daniel and Azzopardi, Leif and Schafer, Burkhard (2022) Revealing cumulative risks in online personal information : a data narrative study. Other. arXiv.org, Ithaca, N.Y..

2021

Nicol, Emma and Htait, Amal and Azzopardi, Leif and Moncur, Wendy (2021) Towards identifying, understanding and controlling cumulative revelations in social media. Proceedings of the Association for Information Science and Technology, 58 (1). pp. 798-800. ISSN 2373-9231

Htait, Amal and Azzopardi, Leif; (2021) Sentiment intensity prediction using neural word embeddings. In: ICTIR '21 : Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. ACM, NLD, pp. 93-102. ISBN 9781450386111

Htait, Amal and Azzopardi, Leif; Hiemstra, Djoerd and Moens, Marie-Francine and Mothe, Josiane and Perego, Raffaele and Potthast, Martin and Sebastiani, Fabrizio, eds. (2021) AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings. In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12657 . Springer, ITA, pp. 509-513. ISBN 9783030722401

Azzopardi, Leif and Briggs, Jo and Htait, Amal and Moncur, Wendy and Nicol, Emma and Schafer, Burkhard (2021) Cumulative revelations in personal data. In: SPRITE+ Online Showcase, 2021-01-14, Online.

2020

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar (2020) Early risk detection of self-harm and depression severity using BERT-based transformers : iLab at CLEF eRisk 2020. CEUR Workshop Proceedings, 2696. 50. ISSN 1613-0073

Htait, Amal and Fournier, Sebastien and Bellot, Patrice and Azzopardi, Leif and Pasi, Gabriella; (2020) Using sentiment analysis for pseudo-relevance feedback in social book search. In: ICTIR '20 - Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval. ACM, NOR, 29–32. ISBN 9781450380676

Htait, Amal and Azzopardi, Leif and Nicol, Emma and Moncur, Wendy; (2020) DataMirror: reflecting on one's data self : a tool for social media users to explore their digital footprint. In: SIGIR '20 - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, CHN, 2125–2128. ISBN 9781450380164

This list was generated on Sat Jun 25 23:19:11 2022 BST.