scispace - formally typeset
Search or ask a question
Topic

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
More filters
Patent
07 Dec 2001
TL;DR: In this paper, a collaborative annotation system for facilitating annotations of time-based media, such as video, by users is disclosed, which involves displaying and controlling the display of a time based medium, and receiving and storing input for defining a location in the time based media, and performing and storing a valuation relating to the annotation.
Abstract: A collaborative annotation system for facilitating annotations, such as commentaries, of time-based media, such as video, by users is disclosed. The system involves displaying and controlling the display of a time-based medium, and receiving and storing input for defining a location in the time-based medium. The system also involves receiving and storing an annotation relating to the context of the location, and performing and storing a valuation relating to the annotation.

117 citations

Proceedings Article
01 May 2016
TL;DR: A procedure was devised to automatically project the annotations on the English texts onto the translated texts, based on the manual alignment of the annotated elements, which enabled us to speed up the annotation process but also provided cross-lingual coreference.
Abstract: In this paper, we present the NewsReader MEANTIME corpus, a semantically annotated corpus of Wikinews articles. The corpus consists of 480 news articles, i.e. 120 English news articles and their translations in Spanish, Italian, and Dutch. MEANTIME contains annotations at different levels. The document-level annotation includes markables (e.g. entity mentions, event mentions, time expressions, and numerical expressions), relations between markables (modeling, for example, temporal information and semantic role labeling), and entity and event intra-document coreference. The corpus-level annotation includes entity and event cross-document coreference. Semantic annotation on the English section was performed manually; for the annotation in Italian, Spanish, and (partially) Dutch, a procedure was devised to automatically project the annotations on the English texts onto the translated texts, based on the manual alignment of the annotated elements; this enabled us not only to speed up the annotation process but also provided cross-lingual coreference. The English section of the corpus was extended with timeline annotations for the SemEval 2015 TimeLine shared task. The First CLIN Dutch Shared Task at CLIN26 was based on the Dutch section, while the EVALITA 2016 FactA (Event Factuality Annotation) shared task, based on the Italian section, is currently being organized

116 citations

Patent
23 Jan 2008
TL;DR: In this article, the authors present a user interface that allows a user to enter and view annotations associated with content such as a video, such that when that time segment is played in a video player, its associated annotation is presented.
Abstract: Aspects of the subject matter described herein relate to annotating and sharing content. In aspects, an annotation tool presents a user interface that allows a user to enter and view annotations associated with content such as a video. The annotation tool allows the user to associate each annotation with a particular time segment of the video such that when that time segment is played in a video player, its associated annotation is presented. The annotation tool also presents a user interface that allows the user to share the video as annotated with other users as desired. Other users receiving the annotated video may further annotate the video and share it with others.

116 citations

Book ChapterDOI
Joakim Nivre1
14 Apr 2015
TL;DR: The motivation behind the initiative, how the basic design principles follow from these requirements, and the different components of the annotation standard, including principles for word segmentation, morphological annotation, and syntactic annotation are discussed.
Abstract: Universal Dependencies is a recent initiative to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. In this paper, I outline the motivation behind the initiative and explain how the basic design principles follow from these requirements. I then discuss the different components of the annotation standard, including principles for word segmentation, morphological annotation, and syntactic annotation. I conclude with some thoughts on the challenges that lie ahead.

116 citations

Patent
18 Jan 2006
TL;DR: In this paper, the authors present a system for receiving and distributing annotations of a digital work (e.g., text, graphical, or textual annotations) and displaying indicators to identify content in the digital work for which annotations are available.
Abstract: Methods and systems for receiving and distributing annotations of a digital work (84) include receiving an annotation of the digital work (84), storing the annotation, and providing the annotation to the user. The user may be required to submit a valid authorization credential (90) for the annotation. Annotations may be textual or graphical, and may be associated with particular content in a digital work. Indicators may be displayed to identify content in the digital work for which annotations are available. A user may exchange compensation or perform a specified action for access to an annotation. Some or all of the compensation received for an annotation may be distributed to the author of the annotation. Multiple annotations may be listed in an order based a criterion, such as ranking, price, or date of receipt. Users that purchase a digital work may automatically receive an authorization credential (90)to receive annotations of the digital work.

116 citations


Network Information
Related Topics (5)
Inference
36.8K papers, 1.3M citations
81% related
Deep learning
79.8K papers, 2.1M citations
80% related
Graph (abstract data type)
69.9K papers, 1.2M citations
80% related
Unsupervised learning
22.7K papers, 1M citations
79% related
Cluster analysis
146.5K papers, 2.9M citations
78% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,461
20223,073
2021305
2020401
2019383
2018373