Titlebook: Handbook of Linguistic Annotation; Nancy Ide,James Pustejovsky Book 2017 Springer Science+Business Media Dordrecht 2017 Corpus linguistics

Seminar

Overview of Annotation Creation: Processes and Tools people, stages, and tools. This chapter outlines the process of creating end-to-end linguistic annotations, identifying specific tasks that researchers often perform. Because tool support is so central to achieving high quality, reusable annotations with low cost, the focus is on identifying capabi

anachronistic

The Evolution of Text Annotation Frameworksbefore showing how their various contributions have been combined and integrated into more modern frameworks. After a summary of typical annotation tasks and some open source tools that can perform them, we present two older ways to organize the tools into pipelines that ensure the annotation tasks

conception

自制

Collaborative Web-Based Tools for Multi-layer Text Annotationb-based tools offer a low-entry way gathering annotations from distributed contributors. While the management structure of annotation tools is more or less stable across projects, the kind of annotations vary widely between projects. The challenge for web-based tools for multi-layer text annotation

GET

HAIRY

Crowdsourcingiate for smaller scale annotation and tend to be too expensive for very large scale annotation. This chapter covers crowdsourcing, the use of web collaboration for annotation. Both microtask crowdsourcing and games-with-a-purpose are discussed, as well as their use in computational linguistics.

chapel

dilute

Ongoing Efforts: Toward Behaviour-Based Corpus Evaluationtation. We first describe the details of an experiment for collecting annotator behaviour during annotating predicate argument relations in Japanese texts. In this experiment, every annotation tool operation and annotator eye gaze were collected from three annotators. We discuss the relationship bet

泄露

ANTH

Sustainable Development and Refinement of Complex Linguistic Annotations at Scalemprovement of existing annotations by encoding all manual effort in such a way that its value is preserved and enhanced even as the resource is improved over time. This manual effort includes both annotation design and disambiguation; in the case of syntactico-semantic annotations, the former can be