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Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Models of diachronic semantic change using word embeddings ; Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique
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In: https://tel.archives-ouvertes.fr/tel-03199801 ; Document and Text Processing. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG006⟩ (2021)
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Abstract:
In this thesis, we study lexical semantic change: temporal variations in the use and meaning of words, also called extit{diachrony}. These changes are carried by the way people use words, and mirror the evolution of various aspects of society such as its technological and cultural environment.We explore, compare and evaluate methods to build time-varying embeddings from a corpus in order to analyse language evolution.We focus on contextualised word embeddings using pre-trained language models such as BERT. We propose several approaches to extract and aggregate the contextualised representations of words over time, and quantify their level of semantic change.In particular, we address the practical aspect of these systems: the scalability of our approaches, with a view to applying them to large corpora or large vocabularies; their interpretability, by disambiguating the different uses of a word over time; and their applicability to concrete issues, for documents related to COVID19We evaluate the efficiency of these methods quantitatively using several annotated corpora, and qualitatively by linking the detected semantic variations with real-life events and numerical data.Finally, we extend the task of semantic change detection beyond the temporal dimension. We adapt it to a bilingual setting, to study the joint evolution of a word and its translation in two corpora of different languages; and to a synchronic frame, to detect semantic variations across different sources or communities on top of the temporal variation. ; Dans cette thèse, nous étudions les changements lexico-sémantiques : les variations temporelles dans l'usage et la signification des mots, également appelé extit{diachronie}. Ces changements reflètent l'évolution de divers aspects de la société tels que l'environnement technologique et culturel.Nous explorons et évaluons des méthodes de construction de plongements lexicaux variant dans le temps afin d'analyser l'évolution du language. Nous utilisont notamment des plongements contextualisés à partir de modèles de langue pré-entraînés tels que BERT.Nous proposons plusieurs approches pour extraire et agréger les représentations contextualisées des mots dans le temps, et quantifier leur degré de changement sémantique. En particulier, nous abordons l'aspect pratique de ces systèmes: le passage à l'échelle de nos approches, en vue de les appliquer à de grands corpus ou de larges vocabulaire; leur interprétabilité, en désambiguïsant les différents usages d'un mot au cours du temps; et leur applicabilité à des problématiques concrètes, pour des documents liés au COVID19 et des corpus du domaine financier. Nous évaluons l'efficacité de ces méthodes de manière quantitative, en utilisant plusieurs corpus annotés, et de manière qualitative, en liant les variations détectées dans des corpus avec des événements de la vie réelle et des données numériques.Enfin, nous étendons la tâche de détection de changements sémantiques au-delà de la dimension temporelle. Nous l'adaptons à un cadre bilingue, pour étudier l'évolution conjointe d'un mot et sa traduction dans deux corpus de langues différentes; et à un cadre synchronique, pour détecter des variations sémantiques entre différentes sources ou communautés en plus de la variation temporelle.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Changement sémantique; Diachronie; Diachrony; Domaine financier; Financial domain; Language models; Modèles de langue; Multilingual; Multilingue; Plongements de mot; Semantic change; Word embeddings
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URL: https://tel.archives-ouvertes.fr/tel-03199801/document
https://tel.archives-ouvertes.fr/tel-03199801
https://tel.archives-ouvertes.fr/tel-03199801/file/98864_MONTARIOL_2021_archivage.pdf
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| 4 |
Teachers of Color's Perception on Identity and Academic Success: A Reflective Narrative
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In: All Antioch University Dissertations & Theses (2021)
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A Survey on Multilingual Hate Speech Detection and Classification by Machine Learning Techniques ...
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A Survey on Multilingual Hate Speech Detection and Classification by Machine Learning Techniques ...
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| 7 |
APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
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Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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Towards Learning Terminological Concept Systems from Multilingual Natural Language Text ...
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| 9 |
Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
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| 10 |
NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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| 11 |
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
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| 12 |
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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| 13 |
Learning to scale multilingual representations for vision-language tasks
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| 16 |
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning
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| 17 |
SberQuAD – Russian Reading Comprehension Dataset: Description and Analysis
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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| 18 |
Assessing English Writing in Multilingual Writers in Higher Education: A Longitudinal Study
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In: Applied Linguistics and English as a Second Language Dissertations (2019)
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| 19 |
Character language models for generalization of multilingual named entity recognition
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| 20 |
Multilingual Information Access (MLIA) Tools on Google and WorldCat: Bi/Multilingual University Students’ Experience and Perceptions
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In: FIMS Publications (2019)
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