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This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and...
There is a perceived tension between empirical and theoretical approaches to the study of language. Many recent works in the discipline emphasise that linguistics is an 'empirical science'. This volume argues for a nuanced view, highlighting that theory and practice necessarily and as a matter of fact complement each other in linguistic research. Its contributions ranging from experimental studies in psychology via linguistic fieldwork and cross-linguistic comparisons to the application of formal and logical approaches to language exemplify the mutual relationship between empirical and theoretical work. The volume illustrates how selected topics are addressed by different contributions and methodological stances. Topics include the cognitive grounding of language, social cognition and the construction of meaning in interaction, and, closely related, pragmatics from a typological perspective and beyond. Anyone interested in these topics and more generally in meta-theoretical considerations will find great value in this volume.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline, thanks to generous funding support from Hamad Bin Khalifa University (HBKU). The Research Handbook on Health, AI and the Law explores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions.
Understanding the role of humans in environmental change is one of the most pressing challenges of the 21st century. Environmental narratives – written texts with a focus on the environment – offer rich material capturing relationships between people and surroundings. We take advantage of two key opportunities for their computational analysis: massive growth in the availability of digitised contemporary and historical sources, and parallel advances in the computational analysis of natural language. We open by introducing interdisciplinary research questions related to the environment and amenable to analysis through written sources. The reader is then introduced to potential collections ...
This volume constitutes the proceedings of the 15th International Conference on Sustainable Digital Communities, iConference 2020, held in Boras, Sweden, in March 2020. The 27 full papers and the 48 short papers presented in this volume were carefully reviewed and selected from 178 submissions. They cover topics such as: sustainable communities; social media; information behavior; information literacy; user experience; inclusion; education; public libraries; archives and records; future of work; open data; scientometrics; AI and machine learning; methodological innovation.
An introduction to annotation as a genre--a synthesis of reading, thinking, writing, and communication--and its significance in scholarship and everyday life. Annotation--the addition of a note to a text--is an everyday and social activity that provides information, shares commentary, sparks conversation, expresses power, and aids learning. It helps mediate the relationship between reading and writing. This volume in the MIT Press Essential Knowledge series offers an introduction to annotation and its literary, scholarly, civic, and everyday significance across historical and contemporary contexts. It approaches annotation as a genre--a synthesis of reading, thinking, writing, and communication--and offer examples of annotation that range from medieval rubrication and early book culture to data labeling and online reviews.
Who would not be interested in getting an interest-free loan for 12 months for any type of purchase just for taking a few minutes to complete a credit card balance transfer offer? Or a free round-trip airline ticket twice a year just for making purchases on a rebate card? Or lowering their insurance premiums by hundreds of dollars a year just by raising their credit score? Obviously, just about every consumer is interested in saving money and getting freebies! Hence, the universal appeal of this book cannot be overstated. Today, the average American household has 12.7 credit cards. Banks maximize their profits by "nickel and dimeing" and outsmarting their cardholders: that's why credit cards...
A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.
This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniq...