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Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 8 (2022)
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Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
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Using Geolocated Text to Quantify Location in Real Estate Appraisal
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TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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Abstract:
Honeyfile deployment is a useful breach detection method in cyber deception that can also inform defenders about the intent and interests of intruders and malicious insiders. A key property of a honeyfile, enticement, is the extent to which the file can attract an intruder to interact with it. We introduce a novel metric, Topic Semantic Matching (TSM), which uses topic modelling to represent files in the repository and semantic matching in an embedding vector space to compare honeyfile text and topic words robustly. We also present a honeyfile corpus created with different Natural Language Processing (NLP) methods. Experiments show that TSM is effective in inter-corpus comparisons and is a promising tool to measure the enticement of honeyfiles. TSM is the first measure to use NLP techniques to quantify the enticement of honeyfile content that compares the essential topical content of local contexts to honeyfiles and is robust to paraphrasing.
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Keyword:
cyber deception; Cyber Deception and Cyberpsychology for Defense; enticement score; honeyfiles; natural language processing (nlp); semantic similarity
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URL: http://hdl.handle.net/10125/79613
https://doi.org/10.24251/HICSS.2022.280
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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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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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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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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The First Annotated Corpus of Historical Basque
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In: ISSN: 2055-7671 ; EISSN: 2055-768X ; Digital Scholarship in the Humanities ; https://hal.archives-ouvertes.fr/hal-03505658 ; Digital Scholarship in the Humanities, Oxford University Press, 2021, ⟨10.1093/llc/fqab066⟩ (2021)
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CorpusExplorer ... : Eine Software zur korpuspragmatischen Analyse ...
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The Unsolved Problem of Language Identification: A GMM-based Approach ...
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The Unsolved Problem of Language Identification: A GMM-based Approach ...
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| 14 |
The TSL machine: parser, lemma analysis, sentiment analysis and autocoding for Telegram chats ...
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The TSL machine: parser, lemma analysis, sentiment analysis and autocoding for Telegram chats ...
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The TSL machine: parser, lemma analysis, sentiment analysis and autocoding for Telegram chats ...
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Free Software Tools for Computational Linguistics: An Overview ...
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Free Software Tools for Computational Linguistics: An Overview ...
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