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Identifier l’ironie ?
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In: ISSN: 1774-7988 ; EISSN: 2261-3455 ; Synergies Pologne ; https://halshs.archives-ouvertes.fr/halshs-03552205 ; Synergies Pologne, 2022 (2022)
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Annoter et prédire des représentations linguistiques de phrases
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In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
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Controlled Generation of Stylized Text Using Semantic and Phonetic Representations
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Abstract:
Neural networks are a popular choice of models for the purpose of text generation. Variational autoencoders have been shown to be good at reconstructing text and generating novel text. However, controlling certain aspects of the generated text (e.g., length, semantics, cadence) has proven a more difficult task. The objectives of disentanglement and controlled text generation have thus become areas of interest, with various approaches depending on the aspects we desire to control. In this work we study controllable generation of lyric text based on semantic and phonetic criteria. The phonetic information takes the form of generalized phonetic patterns. A Bag-of-Words Variational Autoencoder (VAE) extracts and models the semantic information, while a phonetic pattern VAE handles the phonetic information. Each uses several regularization techniques for its respective latent space and the information from each is fed to a lyrics decoder to generate novel lyric lines that would satisfy both the Bag-of-Words and phonetic constraints. The experiments show that our model can learn to reconstruct phonetic patterns extracted from text and use them with the Bag-of-Words representations to reconstruct the original lyric lines. Together, the learned representations of phonetic patterns and Bag-of-Words constraints can be used to generate new lyrics.
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Keyword:
artificial intelligence; lyrics; machine learning; natural language processing; phonetics; stylized text; text generation
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URL: http://hdl.handle.net/10012/17941
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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Measuring the quality of unstructured text in routinely collected electronic health data: a review and application
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Grapholinguistics in the 21st Century - 2020. Part II
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In: G21C 2020 : Grapholinguistics in the 21st Century ; https://hal.archives-ouvertes.fr/hal-03161397 ; G21C 2020 : Grapholinguistics in the 21st Century, Jun 2020, Paris, France. 5, Fluxus Editions, 2021, Grapholinguistics and Its Applications, 9782957054978. ⟨10.36824/2020-graf2⟩ ; http://www.fluxus-editions.fr/gla5.php (2021)
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Grapholinguistics in the 21st Century - 2020 ; Grapholinguistics in the 21st Century - 2020: Part I
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In: G21C 2020 : Grapholinguistics in the 21st Century ; https://hal.archives-ouvertes.fr/hal-03161395 ; Yannis Haralambous. G21C 2020 : Grapholinguistics in the 21st Century, Jun 2020, Paris, France. 4, Fluxus Editions, 2021, Grapholinguistics and Its Applications, 9782957054961. ⟨10.36824/2020-graf1⟩ ; http://www.fluxus-editions.fr/grafematik2020-proceedingsI.pdf (2021)
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Automatic simplification of technical and specialized texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français. ⟨NNT : 2021LILUH007⟩ (2021)
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Automatic text simplification of specialized and technical texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français (2021)
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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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Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
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In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
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Extraction and normalization of simple and structured entities in medical documents ; Extraction et normalisation d'entités simples et structurées dans les documents médicaux
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In: https://hal.archives-ouvertes.fr/tel-03624928 ; Document and Text Processing. Sorbonne Université, 2021. English (2021)
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Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis LOUHI@EACL 2021
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In: EMNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03483374 ; EMNLP 2021, 2021 ; https://aclanthology.org/2021.louhi-1.0/ (2021)
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CorpusExplorer ... : Eine Software zur korpuspragmatischen Analyse ...
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Multilingual Email Zoning - Segmenting Multilingual Email Text Into Zones
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