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1
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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3
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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4
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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5
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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6
A Corpus-Based Sentence Classifier for Entity–Relationship Modelling
In: Electronics; Volume 11; Issue 6; Pages: 889 (2022)
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7
Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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8
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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9
Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
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10
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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11
StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
Ni, Pin; Li, Gangmin; Hung, Patrick C.K.. - : Elsevier Ltd, 2022
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12
Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
Agüero Torales, Marvin Matías. - : Universidad de Granada, 2022
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13
Dynamics of prescriptivism and lexical borrowings in Contemporary French
Zsombok, Gyula. - 2022
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14
CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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15
Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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16
An Approach Utilizing Linguistic Features for Fake News Detection
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)
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.
Keyword: [INFO]Computer Science [cs]; Association Rule (AR) Mining; Data mining; Fake news; Machine Learning (ML); Natural Language Processing (NLP); Social media
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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17
Sentiment Analysis of Arabic Documents
In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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18
The Role of Inferences in Opinion Mining : Applications to Chinese Social Media ; Le rôle des inférences pour la fouille d'opinion : applications aux réseaux sociaux en langue chinoise
Yan, Liyun. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03469568 ; Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0016⟩ (2021)
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19
The Machine in the Garden of Meter and Rythm
In: Plotting Poetry. On Mechanically-Enhanced Reading ; https://hal.telecom-paris.fr/hal-03255491 ; Bories, Anne-Sophie ; Purnelle, Gérald ; Marchal, Hugues. Plotting Poetry. On Mechanically-Enhanced Reading, Presses universitaires de Liège, 2021, 978-2-87562-280-8 (2021)
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20
On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu ...
Mehmood, Khawar. - : UNSW Sydney, 2021
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