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DEBACER: a method for slicing moderated debates
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In: Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional ; https://hal.telecom-paris.fr/hal-03527450 ; Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional, Nov 2021, São Paulo, Brazil. pp.667-678, ⟨10.5753/eniac.2021.18293⟩ (2021)
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| 142 |
Exploiting augmented intelligence in the modeling of safety-critical autonomous systems
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In: ISSN: 0934-5043 ; EISSN: 1433-299X ; Formal Aspects of Computing ; https://hal.archives-ouvertes.fr/hal-03411215 ; Formal Aspects of Computing, Springer Verlag, 2021, 33 (3), pp.343-384. ⟨10.1007/s00165-021-00543-6⟩ ; https://link.springer.com/article/10.1007%2Fs00165-021-00543-6 (2021)
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| 143 |
Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System
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In: ISSN: 0148-5598 ; EISSN: 1573-689X ; Journal of Medical Systems ; https://hal.archives-ouvertes.fr/hal-03452553 ; Journal of Medical Systems, Springer Verlag (Germany), 2021, 45 (7), ⟨10.1007/s10916-021-01737-4⟩ (2021)
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| 144 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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| 145 |
Medieval manuscripts from digitization to historical analysis
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In: On the way to the future of Digital Manuscript Studies ; https://hal.archives-ouvertes.fr/hal-03503308 ; On the way to the future of Digital Manuscript Studies, Radboud University, Oct 2021, Nijmegen, Netherlands ; https://www.ru.nl/rich/news-events/events/redactionele/online-workshop-on-the-way-to-the-future-digital/ (2021)
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| 147 |
Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies
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In: Boise State University Theses and Dissertations (2021)
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Abstract:
Privacy and its importance to society have been studied for centuries. While our understanding and continued theory building to hypothesize how users make privacy disclosure decisions has increased over time, the struggle to find a one-size solution that satisfies the requirements of each individual remains unsolved. Depending on culture, gender, age, and other situational factors, the concept of privacy and users' expectations of how their privacy should be protected varies from person to person. The goal of this dissertation is to design and develop tools and algorithms to support personal privacy management for end-users. The foundation of this research is based on ensuring the appropriate flow of information based on a user's unique set of personalized rules, policies, and principles. This goal is achieved by building a context-aware and user-centric privacy framework that applies insights from the users' privacy decision-making process, natural language processing (NLP), and formal specification and verification techniques. We conducted a survey (N=401) based on the theory of planned behavior (TPB) to measure the way users' perceptions of privacy factors and intent to disclose information are affected by three situational factors embodied by hypothetical scenarios: information type, recipients' role, and trust source. To help build usable privacy tools, we developed multiple NLP models based on novel architectures and ground truth datasets, that can precisely recognize privacy disclosures through text by utilizing state-of-the-art semantic and syntactic analysis, the hidden pattern of sentence structure, tone of the author, and metadata from the content. We also designed a methodology to formally model, validate, and verify personalized privacy disclosure behavior based on the analysis of the users' situational decision-making process. A robust model checking tool (UPPAAL) is used to represent users' self-reported privacy disclosure behavior by an extended form of finite state automata (FSA). Further, reachability analysis is performed for the verification of privacy properties through computation tree logic (CTL) formulas. Most importantly, we study the correctness, explainability, usability, and acceptance of the proposed methodologies. This dissertation, through extensive amounts of experimental results, contributes several insights to the area of user-tailored privacy modeling and personalized privacy systems.
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Keyword:
behavioral modeling; Computer Sciences; formal method; machine learning; natural language processing; privacy; security
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URL: https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2988&context=td
https://scholarworks.boisestate.edu/td/1855
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| 148 |
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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| 149 |
DESIGNING TO SUPPORT SENSEMAKING IN CROSS-LINGUAL COMPUTER-MEDIATED COMMUNICATION USING NLP TECHNIQUES
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| 150 |
An Approach Utilizing Linguistic Features for Fake News Detection
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In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (2021)
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| 151 |
Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries
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In: Lecture Notes in Computer Science ; https://hal.archives-ouvertes.fr/hal-03271380 ; Matteo Golfarelli; Robert Wrembel. Lecture Notes in Computer Science, Springer, In press, Lecture Notes in Computer Science (2021)
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| 152 |
About Neural Networks and Writing Definitions
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In: ISSN: 2160-5076 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America ; https://hal.archives-ouvertes.fr/hal-03547452 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America, 2021, 42 (2), ⟨10.1353/dic.2021.0022⟩ (2021)
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| 153 |
The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
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In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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| 154 |
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
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| 155 |
Inferring case paradigms with computational classifiers
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In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://halshs.archives-ouvertes.fr/halshs-03095796 ; Natural Language Engineering, Cambridge University Press (CUP), In press (2021)
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| 156 |
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
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In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
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| 157 |
Cross-lingual Representation Learning for Natural Language Processing
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| 158 |
Linguistic Features of Formative Feedback on ESL Argumentative Writing: Comparing Pre-service and Experienced Teachers
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In: Issues in Applied Linguistics, vol 22, iss 0 (2021)
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| 159 |
Playing With Unicorns: AI Dungeon and Citizen NLP
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In: Digital Humanities Quarterly, vol 14, iss 4 (2021)
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| 160 |
Towards a Discourse-Level Natural Language Processing Algorithm: Characterizing Tumor Existence, Change of Existence, and its Progression from Unstructured Radiology Reports
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Huang, Ruiqi. - : eScholarship, University of California, 2021
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