Biographies

Jung's lives.

Forty published life histories of C. G. Jung are grouped into eight categories: autobiography, hagiographies, pathographies, professional biographies, intellectual biographies, illustrated biographies, religious biographies, and joint Jung/Freud biographies. Each work is briefly reviewed in terms of its scope, its main contributions to the biographical literature on Jung, and its principal shor...

Using Biographies to Illustrate the Intrapersonal and Interpersonal Dynamics of Science

We describe using biographies in teaching a course about the intrapersonal and interpersonal dynamics of science, with an emphasis on the professional and personal experiences of women in science. In our course, Life of a Psychologist: Experiences of Women in Science, students examine biographies and scientific research written by female psychologists across the main research areas of psycholog...

Structured and Unstructured Cache Models for SMT Domain Adaptation

We present a French to English translation system for Wikipedia biography articles. We use training data from outof-domain corpora and adapt the system for biographies. We propose two forms of domain adaptation. The first biases the system towards words likely in biographies and encourages repetition of words across the document. Since biographies in Wikipedia follow a regular structure, our se...

The many lives of Charles Darwin: early biographies and the definitive evolutionist.

This article focuses on the early book-length biographies of Darwin published from his death in 1882 up to 1900. By making 1900 the cutoff point I can examine the biographies produced when the iconic figure was not yet set in stone, and before the rediscovery of Mendel's work in the early twentieth century and the anniversary celebrations of 1909 changed the way in which Darwin was regarded. Da...

Unsupervised Discovery of Biographical Structure from Text

We present a method for discovering abstract event classes in biographies, based on a probabilistic latent-variable model. Taking as input timestamped text, we exploit latent correlations among events to learn a set of event classes (such as BORN, GRADUATES HIGH SCHOOL, and BECOMES CITIZEN), along with the typical times in a person’s life when those events occur. In a quantitative evaluation at...

Author and editor biographies