PARC

About: PARC is a facility organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Amorphous silicon & Silicon. The organization has 2751 authors who have published 7217 publications receiving 498621 citations. The organization is also known as: Xerox PARC.

Foundations of Statistical Natural Language Processing

Abstract: Statistical approaches to processing natural language text have become dominant in recent years This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear The book contains all the theory and algorithms needed for building NLP tools It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications

Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation

Abstract: Recent ethnographic studies of workplace practices indicate that the ways people actually work usually differ fundamentally from the ways organizations describe that work in manuals, training programs, organizational charts, and job descriptions. Nevertheless, organizations tend to rely on the latter in their attempts to understand and improve work practice. We examine one such study. We then relate its conclusions to compatible investigations of learning and of innovation to argue that conventional descriptions of jobs mask not only the ways people work, but also significant learning and innovation generated in the informal communities-of-practice in which they work. By reassessing work, learning, and innovation in the context of actual communities and actual practices, we suggest that the connections between these three become apparent. With a unified view of working, learning, and innovating, it should be possible to reconceive of and redesign organizations to improve all three.

Plans and situated actions: the problem of human-machine communication

Abstract: Preface Acknowledgements 1. Introduction 2. Interactive artefacts 3. Plans 4. Situated actions 5. Communicative resources 6. Case and methods 7. Human-machine communication 8. Conclusion References Indices.

Aspect-oriented programming

Abstract: The performance of relational database applications often suffers. The reason is that query optimizers require accurate statistics about data in the database in order to provide optimal query execution plans. Unfortunately, the computation of these statistics must be initiated explicitly (e.g., within application code), and computing statistics takes some time. Moreover, it is not easy to decide when to update statistics of what tables in an application. A well-engineered solution requires adding source code usually in many places of an application. The issue of updating the statistics for database optimization is a crosscutting concern. Thus we propose to use aspect-orientation to automate the calculation. We show how nicely the update functionality can be modularized in an aspect and how easy it is to specify the exact places and the time when statistics updates should be performed to speed up complex queries. Due to the automatic nature, computation takes place on time for complex queries, only when necessary, and only for stale tables. The implementation language for the automated aspect-oriented statistics update concern is AspectJ, a well known and mature aspect-oriented programming language. The approach can however be implemented in any other aspect-oriented language. Unlike in traditional object-oriented pattern solutions, e.g. using the interceptor pattern, we do not have to modify existing code.

Using collaborative filtering to weave an information tapestry

Abstract: The Tapestry experimental mail system developed at the Xerox Palo Alto Research Center is predicated on the belief that information filtering can be more effective when humans are involved in the filtering process. Tapestry was designed to support both content-based filtering and collaborative filtering, which entails people collaborating to help each other perform filtering by recording their reactions to documents they read. The reactions are called annotations; they can be accessed by other people’s filters. Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser. Tapestry’s client/server architecture, its various components, and the Tapestry query language are described.