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Assessing the impact of OCR noise on multilingual event detection over digitised documents
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In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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PROTECT: A Pipeline for Propaganda Detection and Classification
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In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
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Computational Measures of Deceptive Language: Prospects and Issues
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In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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Abstract:
International audience ; In this article, we wish to foster a dialogue between theory-based and classificationoriented stylometric approaches regarding deception detection. To do so, we review how cue-based and model-based stylometric systems are used to detect deceit. Baseline methods, common cues, recent methods, and field studies are presented. After reviewing how computational stylometric tools have been used for deception detection purposes, we show that the he stylometric methods and tools cannot be applied to deception detection problems on the field in their current state. We then identify important advantages and issues of stylometric tools. Advantages encompass quickness of extraction and robustness, allowing for best interviewing practices. Issues are discussed in terms of oral data transcription issues and automation bias emergence. We finally establish future research proposals: We emphasize the importance of baseline assessment and the need for transcription methods, and the concern of ethical standards regarding the applicability of stylometry for deception detection purposes in practical settings, while encouraging the cooperation between linguists, psychologists, engineers, and practitioners requiring deception detection methods.
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Keyword:
[SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; automation bias; computational linguistics; deception detection; forensic linguistics; stylometry
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URL: https://doi.org/10.3389/fcomm.2022.792378 https://hal.archives-ouvertes.fr/hal-03629780/document https://hal.archives-ouvertes.fr/hal-03629780/file/TomasDodierDemarche_FiC.pdf https://hal.archives-ouvertes.fr/hal-03629780
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Выявление транснациональных преступлений как направление уголовной политики Российской Федерации ... : Detection of transnational crimes as a direction of criminal policy of Russian Federation ...
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Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
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Low-cost electronic circuitry for photoacoustic gas sensing ...
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Low-cost electronic circuitry for photoacoustic gas sensing ...
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Assessing the Linguistic Quality of REST APIs for IoT Applications ...
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Assessing the Linguistic Quality of REST APIs for IoT Applications ...
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Assessing the Linguistic Quality of REST APIs for IoT Applications ...
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Detection and Recognition of Asynchronous Auditory/Visual Speech: Effects of Age, Hearing Loss, and Talker Accent ...
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Data for: Speech naturalness detection and language representation in the dog brain ...
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Data for: Speech naturalness detection and language representation in the dog brain ...
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MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2081 (2022)
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A White-Box Sociolinguistic Model for Gender Detection
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2676 (2022)
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Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going?
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In: Diagnostics; Volume 12; Issue 4; Pages: 927 (2022)
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Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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Toward Realigning Automatic Speaker Verification in the Era of COVID-19
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In: Sensors; Volume 22; Issue 7; Pages: 2638 (2022)
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Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3634 (2022)
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