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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 Hits 1 – 10 of 10 1 Can pre-trained Transformers be used in detecting complex sensitive sentences? -- A Monsanto case study ... Timmer, Roelien C.; Liebowitz, David; Nepal, Surya. - : arXiv, 2022 BASE Show details 2 TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing Timmer, Roelien; Liebowitz, David; Nepal, Surya. - 2022 BASE Show details 3 The importance of social identity on password formulations [<Journal>] Grobler, Marthie [Verfasser]; Chamikara, M. A. P. [Verfasser]; Abbott, Jacob [Verfasser]. DNB Subject Category Language Show details 4 DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains ... Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2020 BASE Show details 5 Assessing Social License to Operate from the Public Discourse on Social Media ... The 28th International Conference on Computational Linguistics 2020; Nepal, Surya; Paris, Cecile. - : Underline Science Inc., 2020 BASE Show details 6 Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ... Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2019 BASE Show details 7 Catering to your concerns: Automatic generation of personalised security-centric descriptions for Android apps Wu, Tingmin; Tang, Lihong; Zhang, Rongjunchen... In: ACM Transactions on Cyber-Physical Systems, Vol. 3, no. 4 (Sep 2019), article no. 36 (2019) BASE Show details 8 Cross-Target Stance Classification with Self-Attention Networks ... Xu, Chang; Paris, Cecile; Nepal, Surya; Sparks, Ross. - : arXiv, 2018 Abstract: In stance classification, the target on which the stance is made defines the boundary of the task, and a classifier is usually trained for prediction on the same target. In this work, we explore the potential for generalizing classifiers between different targets, and propose a neural model that can apply what has been learned from a source target to a destination target. We show that our model can find useful information shared between relevant targets which improves generalization in certain scenarios. ... : In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL2018) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1805.06593 https://arxiv.org/abs/1805.06593 BASE Hide details 9 Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps ... Wu, Tingmin; Tang, Lihong; Zhang, Rongjunchen. - : arXiv, 2018 BASE Show details 10 Incorporating tweet relationships into topic derivation Nugroho, Robertus; Molla-Aliod, Diego; Yang, Jian. - : Singapore : Springer, 2016 BASE Show details

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