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Automatic generation of personalized annotation tags for twitter users

by Wei Wu, Bin Zhang, Mari Ostendorf - In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics , 2010
"... This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user’s interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable to t ..."
Abstract - Cited by 18 (0 self) - Add to MetaCart
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user’s interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable

P-tag: Large scale automatic generation of personalized annotation tags for the web

by Paul Alex, Ru Chirita, Stefania Costache, Siegfried H, Wolfgang Nejdl - In Proc. of the 16th Intl. World Wide Web Conf , 2007
"... The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece of in ..."
Abstract - Cited by 47 (1 self) - Add to MetaCart
The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece

The Proposition Bank: An Annotated Corpus of Semantic Roles

by Martha Palmer, Paul Kingsbury, Daniel Gildea - Computational Linguistics , 2005
"... The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent corefere ..."
Abstract - Cited by 556 (22 self) - Add to MetaCart
coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated. We discuss the criteria used to define the sets of semantic roles used in the annotation process

A Maximum Entropy Model for Part-Of-Speech Tagging

by Adwait Ratnaparkhi , 1996
"... This paper presents a statistical model which trains from a corpus annotated with Part-OfSpeech tags and assigns them to previously unseen text with state-of-the-art accuracy(96.6%). The model can be classified as a Maximum Entropy model and simultaneously uses many contextual "features" t ..."
Abstract - Cited by 580 (1 self) - Add to MetaCart
This paper presents a statistical model which trains from a corpus annotated with Part-OfSpeech tags and assigns them to previously unseen text with state-of-the-art accuracy(96.6%). The model can be classified as a Maximum Entropy model and simultaneously uses many contextual "

The Penn Treebank: Annotating Predicate Argument Structure

by Mitchell Marcus, Grace Kim, Mary Ann Marcinkiewicz, Robert Macintyre, Ann Bies, Mark Ferguson, Karen Katz, Britta Schasberger - In ARPA Human Language Technology Workshop , 1994
"... The Penn Treebank has recently implemented a new syntactic annotation scheme, designed to highlight aspects of predicate-argument structure. This paper discusses the implementation of crucial aspects of this new annotation scheme. It incorporates a more consistent treatment of a wide range of gramma ..."
Abstract - Cited by 349 (4 self) - Add to MetaCart
The Penn Treebank has recently implemented a new syntactic annotation scheme, designed to highlight aspects of predicate-argument structure. This paper discusses the implementation of crucial aspects of this new annotation scheme. It incorporates a more consistent treatment of a wide range

Annotations, Tags & Linked Data -Metadata Enrichment in Online Map Collections through Volunteer-Contributed Information

by Rainer Simon , Bernhard Haslhofer , Joachim Jung
"... Summary: Cultural heritage institutions and private collections such as the Library of Congress or the David Rumsey Map Collection are increasingly providing free online access to high-resolution scans of old maps. With the YUMA Map Annotation Tool, we want to facilitate collaborative scholarly ann ..."
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Summary: Cultural heritage institutions and private collections such as the Library of Congress or the David Rumsey Map Collection are increasingly providing free online access to high-resolution scans of old maps. With the YUMA Map Annotation Tool, we want to facilitate collaborative scholarly

Why we tag: motivations for annotation in mobile and online media

by Morgan Ames, et al. - IN CHI ’07: PROCEEDINGS OF THE SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS , 2007
"... Why do people tag? Users have mostly avoided annotating media such as photos – both in desktop and mobile environments – despite the many potential uses for annotations, including recall and retrieval. We investigate the incentives for annotation in Flickr, a popular web-based photo-sharing system, ..."
Abstract - Cited by 243 (6 self) - Add to MetaCart
Why do people tag? Users have mostly avoided annotating media such as photos – both in desktop and mobile environments – despite the many potential uses for annotations, including recall and retrieval. We investigate the incentives for annotation in Flickr, a popular web-based photo-sharing system

Automatically Generating Extraction Patterns from Untagged Text

by Ellen Riloff - Department of Computer Science, Graduate School of Arts and Science, New York University , 1996
"... Many corpus-based natural language processing systems rely on text corpora that have been manually annotated with syntactic or semantic tags. In particular, all previous dictionary construction systems for information extraction have used an annotated training corpus or some form of annotated input. ..."
Abstract - Cited by 373 (32 self) - Add to MetaCart
Many corpus-based natural language processing systems rely on text corpora that have been manually annotated with syntactic or semantic tags. In particular, all previous dictionary construction systems for information extraction have used an annotated training corpus or some form of annotated input

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

by Kevin Gimpel, Nathan Schneider, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith
"... We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90 % accuracy. The data and tools have been made available to the research community with the goa ..."
Abstract - Cited by 184 (9 self) - Add to MetaCart
We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90 % accuracy. The data and tools have been made available to the research community

Flickr tag recommendation based on collective knowledge

by Börkur Sigurbjörnsson, Roelof van Zwol - IN WWW ’08: PROC. OF THE 17TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB , 2008
"... Online photo services such as Flickr and Zooomr allow users to share their photos with family, friends, and the online community at large. An important facet of these services is that users manually annotate their photos using so called tags, which describe the contents of the photo or provide addit ..."
Abstract - Cited by 224 (1 self) - Add to MetaCart
Online photo services such as Flickr and Zooomr allow users to share their photos with family, friends, and the online community at large. An important facet of these services is that users manually annotate their photos using so called tags, which describe the contents of the photo or provide
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