Hasil untuk "Biography"

G. Gibbs

D. Remenyi

R. Baeza-Yates, B. Ribeiro-Neto

Contents Preface Acknowledgements 1 Introduction 2 User Interfaces for Search by Marti Hearst 3 Modeling 4 Retrieval Evaluation 5 Relevance Feedback and Query Expansion 6 Documents: Languages & Properties with Gonzalo Navarro and Nivio Ziviani 7 Queries: Languages & Properties with Gonzalo Navarro 8 Text Classification with Marcos Gonccalves 9 Indexing and Searching with Gonzalo Navarro 10 Parallel and Distributed IR with Eric Brown 11 Web Retrieval with Yoelle Maarek 12 Web Crawling with Carlos Castillo 13 Structured Text Retrieval with Mounia Lalmas 14 Multimedia Information Retrieval by Dulce Poncele'on and Malcolm Slaney 15 Enterprise Search by David Hawking 16 Library Systems by Edie Rasmussen 17 Digital Libraries by Marcos Gonccalves A Open Source Search Engines with Christian Middleton B Biographies Bibliography Index

John Blitzer, Mark Dredze, Fernando C Pereira

R. Merton

P. Collins

Ian Foster, C. Kesselman

Marilyn Cochran-Smith, Kenneth M. Zeichner

Christine Mattley, Anselm L. Strauss, J. Corbin

William Strauss, N. Howe

C. Symon, Lelani L. Arris, Bill Heal et al.

M. Runco

Margarethe Kusenbach

M. Shanahan

H. McQueen, E. P. Thompson

Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach et al.

We present a large-scale study of gender bias in occupation classification, a task where the use of machine learning may lead to negative outcomes on peoples' lives. We analyze the potential allocation harms that can result from semantic representation bias. To do so, we study the impact on occupation classification of including explicit gender indicators---such as first names and pronouns---in different semantic representations of online biographies. Additionally, we quantify the bias that remains when these indicators are "scrubbed," and describe proxy behavior that occurs in the absence of explicit gender indicators. As we demonstrate, differences in true positive rates between genders are correlated with existing gender imbalances in occupations, which may compound these imbalances.

G. Biesta, M. Tedder

Abstract This paper is a contribution to understanding the relationship between agency and learning in the lifecourse. The contribution is mainly of a theoretical and a conceptual nature in that a particular notion of agency is used that enables agency to be conceived as something that is achieved, rather than possessed, through the active engagement of individuals with aspects of their contexts-for-action. We refer to this as an ecological understanding of agency. On the part of the actor, such engagements are characterised by particular configurations of routine, purpose and judgement. The argument is made that learning about the particular composition of one's agentic orientations and how they play out in one's life can play an important role in the achievement of agency, and that life-narratives, stories about one's life, can be an important vehicle for such learning. We explore the potential of this approach through a discussion of aspects of the learning (auto-) biographies of two participants in the Learning Lives project, a three-year longitudinal study of learning in the lifecourse. The paper concludes with a discussion of the strengths and weaknesses of the approach and an indication of questions for further research.

Michaël Defferrard, Kirell Benzi, P. Vandergheynst et al.

We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections. The community's growing interest in feature and end-to-end learning is however restrained by the limited availability of large audio datasets. The FMA aims to overcome this hurdle by providing 917 GiB and 343 days of Creative Commons-licensed audio from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a hierarchical taxonomy of 161 genres. It provides full-length and high-quality audio, pre-computed features, together with track- and user-level metadata, tags, and free-form text such as biographies. We here describe the dataset and how it was created, propose a train/validation/test split and three subsets, discuss some suitable MIR tasks, and evaluate some baselines for genre recognition. Code, data, and usage examples are available at this https URL

Lingling Li, Ying Chen, Jun‐Jie Zhu

J. Gross

Acknowledgments ix Introduction 3 Outline of the Story 14 Sources 23 Before the War 33 Soviet Occupation, 1939-1941 41 The Outbreak of the Russo-German War and the Pogrom in Radzilow 54 Preparations 72 Who Murdered the Jews of Jedwabne? 79 The Murder 90 Plunder 105 Intimate Biographies 111 Anachronism 122 What Do People Remember? 126 Collective Responsibility 132 New Approach to Sources 138 Is It Possible to Be Simultaneously a Victim and a Victimizer?143 Collaboration 152 Social Support for Stalinism 164 For a New Historiography 168 Postscript 171 Notes 205 Index 249