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1
DEBACER: a method for slicing moderated debates
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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2
Exploiting augmented intelligence in the modeling of safety-critical autonomous systems
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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Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System
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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Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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5
Medieval manuscripts from digitization to historical analysis
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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6
Language modeling for personality prediction
Cutler, Andrew. - 2021
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7
Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies
In: Boise State University Theses and Dissertations (2021)
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8
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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9
DESIGNING TO SUPPORT SENSEMAKING IN CROSS-LINGUAL COMPUTER-MEDIATED COMMUNICATION USING NLP TECHNIQUES
Lim, Hajin. - 2021
Abstract: 218 pages ; Advances in machine translation (MT) and computer-mediated communication (CMC) tools now allow people to collaborate on common problems and interact with others across linguistic and cultural boundaries. However, communicating with linguistically different others, specifically, making sense of the meanings in foreign language messages, is still challenging. Because of the imperfect quality of MT and a lack of cultural and contextual knowledge regarding other cultures, people experience difficulties in extracting informative cues and interpreting the meanings of foreign language messages. Such challenges can diminish the capability of CMC platforms to facilitate communication and information exchange between linguistically and/or culturally diverse communities The main goal of this dissertation is to explore design solutions that can improve people’s sensemaking processes when they encounter foreign language messages. I investigate how people make sense of foreign language messages and identify their challenges and needs in their sensemaking process. Based on my findings, I design and develop sensemaking support tools and evaluate them in the context of social media sites and email communication. Specifically, I use natural language processing (NLP) techniques to generate useful cues for users’ sensemaking of foreign language messages. First, I design and develop SenseTrans –a browser extension that provides NLP-generated information about cultural referents, sentiments, and emotions using emotion/sentiment detection algorithms and entity extraction techniques. Second, I design the Politeness estimator, an email extension that provides politeness assessments of foreign language messages using language-specific classification algorithms in addition to MT outputs. The results from experimental evaluations of these tools provide initial evidence for the value of NLP techniques to improve cross-lingual sensemaking by increasing users’ confidence and accuracy in interpreting foreign language messages. Future, the deployment study of the tools in a real-world setting points to the need for further investigation of how users understand and utilize the NLP-generated information from the tools in their sensemaking process. The dissertation contributes to our understanding of current challenges in making sense of foreign language messages and the design of future tools for cross-lingual CMC and sensemaking.
Keyword: Computer-Mediated Communication; Cross-lingual Communication; Human-Computer Interaction; Machine Translation; Natural Language Processing; Sensemaking
URL: https://doi.org/10.7298/gs0z-7064
http://dissertations.umi.com/cornellgrad:12417
https://hdl.handle.net/1813/109766
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10
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)
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11
Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries
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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12
About Neural Networks and Writing Definitions
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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13
The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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14
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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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15
Inferring case paradigms with computational classifiers
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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16
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
Deturck, Kévin. - : HAL CCSD, 2021
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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17
Cross-lingual Representation Learning for Natural Language Processing
Ahmad, Wasi Uddin. - : eScholarship, University of California, 2021
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18
Linguistic Features of Formative Feedback on ESL Argumentative Writing: Comparing Pre-service and Experienced Teachers
In: Issues in Applied Linguistics, vol 22, iss 0 (2021)
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19
Playing With Unicorns: AI Dungeon and Citizen NLP
In: Digital Humanities Quarterly, vol 14, iss 4 (2021)
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20
Towards a Discourse-Level Natural Language Processing Algorithm: Characterizing Tumor Existence, Change of Existence, and its Progression from Unstructured Radiology Reports
Huang, Ruiqi. - : eScholarship, University of California, 2021
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