Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.
Ecritures digitales aims to demonstrate how digital writing contributes to the emergence of “a new relationship between the human body and the machine” as Jacques Derrida proposed when he considered the effects of new technologies. This reconfigured relationship, not surprisingly, is also influencing the digital future of the Jewish-Christian textual corpus referred to as “the Scriptures”. The French title brings together this duality in one expression: Ecritures digitales. The English subtitle makes explicit the double meaning of the unique French word Ecritures: Digital writing, digital Scriptures. With a full French version and an abbreviated English version, this monograph analyzes the main challenges and opportunities for both writing and the Scriptures in the transition to digital culture. Ecritures digitales souhaite démontrer de quelle manière l’écriture digitale contribue à l’émergence d’une « nouvelle relation du corps humain aux machines », selon le diagnostique posé par Jacques Derrida à propos des effets des nouvelles technologies. Cette relation innovante influence également l’avenir numérique du corpus textuel judéo-chrétien désigné comme «les Ecritures». Le titre français rassemble en une seule expression ces deux thématiques: Ecritures digitales. Le sous-titre anglais rend sa double signification explicite: Digital writing, digital Scriptures. Avec une version française complète et une version anglaise brève, cette monographie analyse les principaux défis des métamorphoses digitales de l’écriture et des Ecritures.
Informed by newly available diaries and correspondence, here is the first comprehensive biographical and critical study of this enigmatic writer whose tragic suicide at the age of thirty-one served to plunge her fascinating body of work into obscurity.
Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.
Quand deux histoires d'amour s'entrecroisent... Drey n'a jamais manqué d'amour, entourée par sa mère, Juliane, sa grand-mère et son arrière-grand-mère. Et tant pis si elle ne sait pas qui est son père ! Sauvage et imprévisible, pas question pour elle de se laisser marcher sur les pieds même si elle n'a que vingt ans. Ses problèmes avec un malfrat local l'incitent à accepter l'étrange proposition de Clarence, cet inconnu qui débarque chez elle un soir d'août pour lui parler de son père et lui demander de le suivre à Capestella. Au fil des semaines sous l'écrasant soleil de Corse, Clarence et Drey vont se rapprocher et la jeune femme découvrira enfin la vérité sur ses origines. Mais les leçons du passé leur permettront-elles de ne pas commettre les mêmes erreurs ?
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