The book is in 2 parts. The first part looks at the historical aspect of Blacks and sexuality. It begins in Africa and the sexuality among various tribes. It moves along into American slavery and the sexuality of the slaves and how sex was used against them. It then moves into Reconstruction and into the 20th century and how relationships among Blacks were influenced by the history. This section shows how the relationships between Black men and women were damaged by societal laws that were created to tear apart the Black family unit. The second part of the book looks at other sexual and relationship issues for Blacks in America. Some of the topics include Black skin color (light vs. dark), Sexually Transmitted Diseases and Blacks, Black gays, lesbians and Homophobia, Black sexual relationships and Black sexual stereotypes and their effect on Black sexuality.
This essential guide describes the nature of social anxiety disorder, gives the full range of treatment options, and reveals how to select the best therapeutic course with the help of a medical professional.
This book surveys recent advances in Conversational Information Retrieval (CIR), focusing on neural approaches that have been developed in the last few years. Progress in deep learning has brought tremendous improvements in natural language processing (NLP) and conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken and typed interaction, increasing the need for more human-centric interactions in IR. The book contains nine chapters. Chapter 1 motivates the research of CIR by reviewing the studies on how people search and subsequently defines a CIR system and a reference architecture which is described in detail in the rest of the book. Chapter 2 provides a detailed discussion of techniques for evaluating a CIR system – a goal-oriented conversational AI system with a human in the loop. Then Chapters 3 to 7 describe the algorithms and methods for developing the main CIR modules (or sub-systems). In Chapter 3, conversational document search is discussed, which can be viewed as a sub-system of the CIR system. Chapter 4 is about algorithms and methods for query-focused multi-document summarization. Chapter 5 describes various neural models for conversational machine comprehension, which generate a direct answer to a user query based on retrieved query-relevant documents, while Chapter 6 details neural approaches to conversational question answering over knowledge bases, which is fundamental to the knowledge base search module of a CIR system. Chapter 7 elaborates various techniques and models that aim to equip a CIR system with the capability of proactively leading a human-machine conversation. Chapter 8 reviews a variety of commercial systems for CIR and related tasks. It first presents an overview of research platforms and toolkits which enable scientists and practitioners to build conversational experiences, and continues with historical highlights and recent trends in a range of application areas. Chapter 9 eventually concludes the book with a brief discussion of research trends and areas for future work. The primary target audience of the book are the IR and NLP research communities. However, audiences with another background, such as machine learning or human-computer interaction, will also find it an accessible introduction to CIR.
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