Nancy Ide – författare

Charles F. Goldfarb Saratoga. California If asked for a sure recipe for chaos I would propose a I am delighted that my invention, the Standard project in which several thousand impassioned special­ Generalized Markup Language, was able to play a ists in scores of disciplines from a dozen or more role in the TEl's magnificent accomplishment, particu­ countries would be given five years to produce some larly because almost all of the original applications 1300 pages of guidelines for representing the informa­ of SGML were in the commercial and technological tion models of their specialties in a rigorous, machine­ realms. It is reasonable, of course, that organiza­ verifiable notation. Clearly, it would be sociologically tions with massive economic investments in new and and technologically impossible for such a group even changing information should want the benefits of infor­ to agree on the subject matter of such guidelines, let mation asset preservation and reuse that SGML offers. alone the coding details. But just as clearly as the It is gratifying that the TEl, representing the guardians bumblebee flies despite the laws of aerodynamics, the of humanity's oldest and most truly valuable informa­ Text Encoding Initiative has actually succeeded in such tion, chose SGML for those same benefits. an effort. The vaunted "information superhighway" would The TEl Guidelines are extraordinary.

Charles F. Goldfarb Saratoga. California If asked for a sure recipe for chaos I would propose a I am delighted that my invention, the Standard project in which several thousand impassioned special­ Generalized Markup Language, was able to play a ists in scores of disciplines from a dozen or more role in the TEl''s magnificent accomplishment, particu­ countries would be given five years to produce some larly because almost all of the original applications 1300 pages of guidelines for representing the informa­ of SGML were in the commercial and technological tion models of their specialties in a rigorous, machine­ realms. It is reasonable, of course, that organiza­ verifiable notation. Clearly, it would be sociologically tions with massive economic investments in new and and technologically impossible for such a group even changing information should want the benefits of infor­ to agree on the subject matter of such guidelines, let mation asset preservation and reuse that SGML offers. alone the coding details. But just as clearly as the It is gratifying that the TEl, representing the guardians bumblebee flies despite the laws of aerodynamics, the of humanity''s oldest and most truly valuable informa­ Text Encoding Initiative has actually succeeded in such tion, chose SGML for those same benefits. an effort. The vaunted "information superhighway" would The TEl Guidelines are extraordinary.

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 automatic annotation process, evaluation, and iterative improvement of annotation accuracy.  The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.

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 automatic annotation process, evaluation, and iterative improvement of annotation accuracy.  The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.