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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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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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Abstract:
Part 15: Natural Language ; International audience ; Easy propagation and access to information on the web has the potential to become a serious issue when it comes to disinformation. The term “fake news” describes the intentional propagation of news with the intention to mislead and harm the public and has gained more attention recently. This paper proposes a style-based Machine Learning (ML) approach, which relies on the textual information from news, such as manually extracted lexical features e.g. part of speech counts, and evaluates the performance of several ML algorithms. We identified a subset of the best performing linguistic features, using information-based metrics, which tend to agree with the literature. We also, combined Named Entity Recognition (NER) functionality with the Frequent Pattern (FP) Growth association rule algorithm to gain a deeper perspective of the named entities used in the two classes. Both methods reinforce the claim that fake and real news have limited differences in content, setting limitations to style-based methods. Results showed that convolutional neural networks resulted in the best accuracy, outperforming the rest of the algorithms.
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Keyword:
[INFO]Computer Science [cs]; Association Rule (AR) Mining; Data mining; Fake news; Machine Learning (ML); Natural Language Processing (NLP); Social media
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URL: https://hal.inria.fr/hal-03287679 https://doi.org/10.1007/978-3-030-79150-6_51 https://hal.inria.fr/hal-03287679/file/509922_1_En_51_Chapter.pdf https://hal.inria.fr/hal-03287679/document
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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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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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