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Annotation

About: Annotation is a research topic. Over the lifetime, 6719 publications have been published within this topic receiving 203463 citations. The topic is also known as: note & markup.


Papers
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01 Jan 2008
TL;DR: The first version of Phrase Detectives is presented, to the authors' knowledge the first game designed for collaborative linguistic annotation on the Web and applying this method to linguistic annotation tasks like anaphoric annotation.
Abstract: Annotated corpora of the size needed for modern computational linguistics research cannot be created by small groups of hand annotators. One solution is to exploit collaborative work on the Web and one way to do this is through games like the ESP game. Applying this methodology however requires developing methods for teaching subjects the rules of the game and evaluating their contribution while maintaining the game entertainment. In addition, applying this method to linguistic annotation tasks like anaphoric annotation requires developing methods for presenting text and identifying the components of the text that need to be annotated. In this paper we present the first version of Phrase Detectives (http://www.phrasedetectives.org), to our knowledge the first game designed for collaborative linguistic annotation on the Web.

109 citations

Proceedings ArticleDOI
06 Nov 2005
TL;DR: The IBM Efficient Video Annotation (EVA) system is presented, a server-based tool for semantic concept annotation of large video and image collections that is optimised for collaborative annotation and includes features such as workload sharing and support in conducting inter-annotator analysis.
Abstract: Annotated collections of images and videos are a necessary basis for the successful development of multimedia retrieval systems. The underlying models of such systems rely heavily on quality and availability of large training collections. The annotation of large collections, however, is a time-consuming and error prone task as it has to be performed by human annotators. In this paper we present the IBM Efficient Video Annotation (EVA) system, a server-based tool for semantic concept annotation of large video and image collections. It is optimised for collaborative annotation and includes features such as workload sharing and support in conducting inter-annotator analysis. We discuss initial results of an ongoing user-evaluation of this system. The results are based on data collected during the 2005 TRECVID Annotation Forum, where more than 100 annotators have been using the system.

108 citations

Journal ArticleDOI
01 Sep 2006-Yeast
TL;DR: The ways in which the S. cerevisiae sequence and annotation have changed are discussed, the multiple sources of experimental and comparative data on which these changes are based are considered, and the methods for evaluating, incorporating and documenting these new data are described.
Abstract: The S. cerevisiae genome is the most well-characterized eukaryotic genome and one of the simplest in terms of identifying open reading frames (ORFs), yet its primary annotation has been updated continually in the decade since its initial release in 1996 (Goffeau et al., 1996). The Saccharomyces Genome Database (SGD; www.yeastgenome.org) (Hirschman et al., 2006), the community-designated repository for this reference genome, strives to ensure that the S. cerevisiae annotation is as accurate and useful as possible. At SGD, the S. cerevisiae genome sequence and annotation are treated as a working hypothesis, which must be repeatedly tested and refined. In this paper, in celebration of the tenth anniversary of the completion of the S. cerevisiae genome sequence, we discuss the ways in which the S. cerevisiae sequence and annotation have changed, consider the multiple sources of experimental and comparative data on which these changes are based, and describe our methods for evaluating, incorporating and documenting these new data.

108 citations

Journal ArticleDOI
TL;DR: The scope for data annotation has been substantially expanded to enhance biological interpretations of queried variants and this includes the addition of pathway analysis for the identification of enriched biological pathways and molecular processes.
Abstract: SNPnexus is a web-based annotation tool for the analysis and interpretation of both known and novel sequencing variations. Since its last release, SNPnexus has received continual updates to expand the range and depth of annotations provided. SNPnexus has undergone a complete overhaul of the underlying infrastructure to accommodate faster computational times. The scope for data annotation has been substantially expanded to enhance biological interpretations of queried variants. This includes the addition of pathway analysis for the identification of enriched biological pathways and molecular processes. We have further expanded the range of user directed annotation fields available for the study of cancer sequencing data. These new additions facilitate investigations into cancer driver variants and targetable molecular alterations within input datasets. New user directed filtering options have been coupled with the addition of interactive graphical and visualization tools. These improvements streamline the analysis of variants derived from large sequencing datasets for the identification of biologically and clinically significant subsets in the data. SNPnexus is the most comprehensible web-based application currently available and these new set of updates ensures that it remains a state-of-the-art tool for researchers. SNPnexus is freely available at https://www.snp-nexus.org.

107 citations

Patent
03 Jul 1997
TL;DR: In this article, a multimedia database system effectively retrieves the contents in an optional storage position of an optional medium among a large amount of video and audio media by managing the link relation between the citation destination and the citation source.
Abstract: A multimedia database system effectively retrieves the contents in an optional storage position of an optional medium among a large amount of video and audio media. When a user puts an annotation to a specific range of a medium, the system registers an annotation object comprising the object ID of the target medium, specific range, and annotation information in a table. Next, when an annotation is put to a specific range of a medium once, the system automatically produces annotation objects for all media in the citation relation to it. The system manages the link relation between the citation destination and the citation source by a management table which is newly installed. The system retrieves the table and displays an annotation list coincident with the retrieval condition.

106 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,461
20223,073
2021305
2020401
2019383
2018373