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

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51#
發(fā)表于 2025-3-30 08:55:02 | 只看該作者
Tools for Multimodal Annotationhese recordings presents a different set of requirements to the annotation of text. Special purpose tools have been developed to display video and audio signals and to allow the creation of time-aligned annotations. This chapter reviews the most widely used of these tools for both manual and automatic generation of annotations on multimodal data.
52#
發(fā)表于 2025-3-30 13:20:37 | 只看該作者
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.
53#
發(fā)表于 2025-3-30 19:04:44 | 只看該作者
aluating it for correctness.Offers a thorough treatment of tThis 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.
54#
發(fā)表于 2025-3-31 00:30:17 | 只看該作者
55#
發(fā)表于 2025-3-31 04:36:36 | 只看該作者
Anna Rumshisky,Amber Stubbsng that some approximations must be made during the processing of certain calculations. This paper considers these approximations, and the effect they have when made at different critical points in the processes.
56#
發(fā)表于 2025-3-31 07:12:13 | 只看該作者
57#
發(fā)表于 2025-3-31 10:55:44 | 只看該作者
Book 2017ng, 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 t
58#
發(fā)表于 2025-3-31 13:35:27 | 只看該作者
59#
發(fā)表于 2025-3-31 20:37:21 | 只看該作者
60#
發(fā)表于 2025-4-1 00:20:19 | 只看該作者
Ongoing Efforts: Toward Behaviour-Based Corpus Evaluationation disagreement (EAD) and missing annotation disagreement (MAD). We further report the preliminary results of an attempt for detecting missing disagreement by analysing the collected data. The chapter concludes with some remarks for future research directions.
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