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DEBACER: a method for slicing moderated debates
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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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| 142 |
Exploiting augmented intelligence in the modeling of safety-critical autonomous systems
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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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| 143 |
Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System
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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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| 144 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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| 145 |
Medieval manuscripts from digitization to historical analysis
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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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| 146 |
Language modeling for personality prediction
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Abstract:
This dissertation can be divided into two large questions. The first is a supervised learning problem: given text from an individual, how much can be said about their personality? The second is more fundamental: what personality structure is embedded in modern language models? To address the first question, three language models are used to predict many traits from Facebook Statuses. Traits include: gender, religion, politics, Big5 personality, sensational interests, impulsiveness, IQ, fair-mindedness, and self-disclosure. Linguistic Inquiry Word Count (Pennebaker et al., 2015), the dominant model used in psychology, explains close to zero variance on many labels. Bag of Words performs well and the model weights provide valuable insight about why predictions are made. Neural Nets perform the best by a wide margin on personality traits especially when few training samples are available. A pretrained personality model is made available online that can explain 10% of the variance of a trait with as little as 400 samples, within the range of normal psychology studies. This is a good replacement for Linguistic Inquiry Word Count in predictive settings. In psychology, personality structure is defined by dimensionality reduction of word vectors (Goldberg, 1993). To address the second question, factor analysis is performed on embeddings of personality words produced by the language model RoBERTa (Liu et al., 2019). This recovers two factors that look like Digman’s α and β (Digman, 1997) and not the more popular Big Five. The structure is shown to be robust to choice of context around an embedded word, language model, factorization method, word set and English vs Spanish. This is a flexible tool for exploring personality structure that can easily be applied to other languages.
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Keyword:
Computer engineering; Lexical hypothesis; Machine learning; Natural language processing; Personality; Social media
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URL: https://hdl.handle.net/2144/41942
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| 147 |
Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies
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In: Boise State University Theses and Dissertations (2021)
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| 148 |
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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| 149 |
DESIGNING TO SUPPORT SENSEMAKING IN CROSS-LINGUAL COMPUTER-MEDIATED COMMUNICATION USING NLP TECHNIQUES
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| 150 |
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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| 151 |
Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries
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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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| 152 |
About Neural Networks and Writing Definitions
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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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| 153 |
The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
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In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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| 154 |
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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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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| 155 |
Inferring case paradigms with computational classifiers
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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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| 156 |
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
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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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| 157 |
Cross-lingual Representation Learning for Natural Language Processing
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| 158 |
Linguistic Features of Formative Feedback on ESL Argumentative Writing: Comparing Pre-service and Experienced Teachers
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In: Issues in Applied Linguistics, vol 22, iss 0 (2021)
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| 159 |
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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| 160 |
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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