The EventStatus Corpus

registration: 2017/05/20 07:48:03, last modified: 2017/05/20 08:07:45
title
  • The EventStatus Corpus
title.abbreviation
title.alternative
creator
  • researcher Ruihong Huang
  • researcher Daniel Jurafsky
  • researcher Ellen Riloff
subject
  • annotated news article corpus
subject.linguisticField
subject.monoMultilingual
  • multilingual
subject.resourceSubject
  • corpus
description
  • *Introduction*

    The EventStatus Corpus was developed by researchers at Texas A&M University, Stanford University and The University of Utah. It consists of approximately 3,000 English and 1,500 Spanish news articles about civil unrest events annotated with temporal tags.

    This corpus was designed to support the study of the temporal and aspectual properties of major events, that is, whether an event has already happened, is currently happening or may happen in the future. Since it focuses on a single domain (civil unrest events), it may be appropriate for tasks such as event extraction and temporal question answering.

    *Data*

    The relevant news articles were sourced from English Gigaword Fifth Edition (LDC2017T09) and Spanish Gigaword Third Edition (LDC2011T12). The civil unrest events include protests, demonstrations, marches and strikes. The data was annotated as PAST, ON-GOING or FUTURE and within each of those categories, as PLANNED, ALERT or POSSIBLE.

    In addition to the annotated articles, file lists used in experiments for tuning and test are included. 10-fold cross-validations were performed, and the specific 10-fold splits of the test are included as well. All text is presented as plain text and encoded in UTF-8.
description.price *This metadata is only as a guide
  • $0.00 2017 Member
  • $1,750.00 Non-Member
  • $0.00 Reduced-License
  • $0.00 Extra Copy
description.language
  • English
description.inputDevice
description.inputEnvironment
description.speakingStyle
description.speechMode
description.samplingRate
description.additionalData
publisher
contributor
contributor.attribute.author.motherTongue
  • native
contributor.attribute.author.dialect
  • standard_dialect
contributor.attribute.author.level
  • professional
contributor.attribute.author.age
  • adult
contributor.attribute.author.gender
contributor.attribute.speaker.motherTongue
contributor.attribute.speaker.dialect
contributor.attribute.speaker.level
contributor.attribute.speaker.age
contributor.attribute.speaker.gender
contributor.attribute.speaker.number
date.created
date.issued
  • 2017-5-15
date.modified
type
  • Text
type.discourseType
  • report
type.linguisticType
  • primary_text
type.purpose
  • analysis
type.style
  • written news articles
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
  • annotated temporal and aspectual tags
type.annotationSample
type.sample
format.extent
  • Number of news articles: approximately 3,000 English and 1,500 Spanish articles
format.medium
  • Web Download
format.encoding
  • UTF-8
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 173-931-115-382-5
source
  • English Gigaword Fifth Edition (LDC2017T09)
  • Spanish Gigaword Third Edition (LDC2011T12)
language
  • English
  • Spanish
language.area
  • America
  • Europe
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
  • 1993 - 2010
coverage.spacial
rights
  • Licensing Instructions for Subscription & Standard Members, and Non-Members:
  • http://www.ldc.upenn.edu/language-resources/data/obtaining
  • LDC User Agreement for Non-Members:
  • https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
  • Copyright:
  • Portions © 1994-2010 Agence France Presse, © 1993-2010 The Associated Press, © 1997-2010 Central News Agency (Taiwan), © 1994-1998, 2003-2009 Los Angeles Times-Washington Post News Service, Inc., © 1994-2010 New York Times, © 2010 The Washington Post News Service with Bloomberg News, © 1995-2010 Xinhua News Agency, © 2017 Ruihong Huang, © 2003, 2005, 2006, 2007, 2009, 2011, 2013, 2017 Trustees of the University of Pennsylvania