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Statistical Methods for Annotation Analysis
Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure in...
RACURSIURI ETNOLOGICE. IN HONOREM SILVIU ANGELESCU
“E adevărat că până scot o carte din casă e foarte greu. Mă hotărăsc foarte greu să public ceva, pentru că actul acesta este, cel puțin din punctul meu de vedere, un act de mare responsabilitate și mă mai consolez câteodată cu gândul că nu am nici cea mai mică reticență pentru tot ce am publicat până acum. Cred că este o dramă pentru cineva care ajunge să regrete că a publicat ceva. Eu am regrete că nu am publicat.” Autorul
Folk Narrative and World View
Die Sicht der Welt in der Volkserzählung ist ein genuin gesellschaftliches, im weitesten Sinn politisches Thema. Die in diesem Tagungsband behandelten Volkserzählungen wie Sagen, Märchen, Schwänke, Lieder oder Rätsel reflektieren nicht nur die jeweilige Gesamtkultur, sondern in ihren Einzelaspekten auch die Weltsicht des erzählenden Individuums. Dabei bestimmen Faktoren wie Religion und Wirtschaft, Geschichte und Milieu und nicht zuletzt die soziale Struktur des Gemeinwesens die Weltsicht des Einzelnen und verweisen trotz der Vielfalt auf eine relativ beschränkte Zahl von Erklärungsmodellen der Welt. Der Sammelband enthält Beiträge in englischer, deutscher und französischer Sprach...
Cognitive Plausibility in Natural Language Processing
This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.
The Oxford Handbook of Computational Linguistics
Provides a comprehensive account of current research in computational linguistics, Fully revised and updated throughout, including 37 new chapters, Features an extended glossary to explain key terms and concepts Book jacket.
Machine Learning and Data Sciences for Financial Markets
Leveraging the research efforts of more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. The text is structured around three main areas: 'Interactions with investors and asset owners,' which covers robo-advisors and price formation; 'Risk intermediation,' which discusses derivative hedging, portfolio construction, and machine learning for dynamic optimization; and 'Connections with the real economy,' which explores nowcasting, alternative data, and ethics of algorithms. Accessible to a wide audience, this invaluable resource will allow practitioners to include machine learning driven techniques in their day-to-day quantitative practices, while students will build intuition and come to appreciate the technical tools and motivation for the theory.
Die Folklore Südosteuropas
This comparative investigation is focused on the comparison of contents, themes, topics, motives, but also symbolism, stereotype situations, patterns of behavior etc. of sung and narrated oral text in South-east Europe. Great importance was given to bibliography, usually difficult to compile in a time-consuming process; a separate part at the end of the volume is dedicated to a bibliographie résonée, arranged according to countries and genres; this will facilitate further and more specific research in special fields of interest. This book offers for the first time a comparative survey of nearly all genres of the traditional oral folklore of Southeast Europe, independent from language, ethn...
