Abstract Meaning Representation (AMR) Annotation Release 2.0

registration: 2017/06/17 07:57:36, last modified: 2017/06/17 08:23:19
title
  • Abstract Meaning Representation (AMR) Annotation Release 2.0
title.abbreviation
title.alternative
creator
  • researcher Kevin Knight
  • researcher Bianca Badarau
  • researcher Laura Baranescu
  • researcher Claire Bonial
  • researcher Madalina Bardocz
  • researcher Kira Griffitt
  • researcher Ulf Hermjakob
  • researcher Daniel Marcu
  • researcher Martha Palmer
  • researcher Tim O'Gorman
  • researcher Nathan Schneider
subject
  • semantic treebank
subject.linguisticField
  • semantics
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus
description
  • *Introduction*

    Abstract Meaning Representation (AMR) Annotation Release 2.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a sembank (semantic treebank) of over 39,260 English natural language sentences from broadcast conversations, newswire, weblogs and web discussion forums.

    AMR captures “who is doing what to whom” in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree-structure. AMR utilizes PropBank frames, non-core semantic roles, within-sentence coreference, named entity annotation, modality, negation, questions, quantities, and so on to represent the semantic structure of a sentence largely independent of its syntax.

    LDC also released Abstract Meaning Representation (AMR) Annotation Release 1.0 (LDC2014T12).


    *Data*

    The source data includes discussion forums collected for the DARPA BOLT and DEFT programs, transcripts and English translations of Mandarin Chinese broadcast news programming from China Central TV, Wall Street Journal text, translated Xinhua news texts, various newswire data from NIST OpenMT evaluations and weblog data used in the DARPA GALE program. The following table summarizes the number of training, dev, and test AMRs for each dataset in the release. Totals are also provided by partition and dataset:

    Dataset Training Dev Test Totals
    BOLT DF MT 1061 133 133 1327
    Broadcast conversation 214 0 0 214
    Weblog and WSJ 0 100 100 200
    BOLT DF English 6455 210 229 6894
    DEFT DF English 19558 0 0 19558
    Guidelines AMRs 819 0 0 819
    2009 Open MT 204 0 0 204
    Proxy reports 6603 826 823 8252
    Weblog 866 0 0 866
    Xinhua MT 741 99 86 926
    Totals 36521 1368 1371 39260

    For those interested in utilizing a standard/community partition for AMR research (for instance in development of semantic parsers), data in the "split" directory contains 39,260 AMRs split roughly 93%/3.5%/3.5% into training/dev/test partitions, with most smaller datasets assigned to one of the splits as a whole. Note that splits observe document boundaries. The "unsplit" directory contains the same 39,260 AMRs with no train/dev/test partition.
description.price *This metadata is only as a guide
  • $0.00 2017 Member
  • $300.00 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
  • sponsor National Science Foundation Grant NSF: 0910992 IIS:RI: Large: Collaborative Research: Richer Representations for Machine Translation and the support of Darpa BOLT - HR0011-11-C-0145 and DEFT - FA-8750-13-2-0045
contributor.attribute.author.motherTongue
contributor.attribute.author.dialect
contributor.attribute.author.level
contributor.attribute.author.age
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
  • 2017-06-15
date.modified
type
  • Text
type.discourseType
  • report
  • interactive_discourse
type.linguisticType
  • primary_text
type.purpose
  • developing_technologies
type.style
  • written
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
  • annotated semantic roles
type.annotationSample
type.sample
format.extent
  • Total number of sentences: 39260
format.medium
  • Web Download
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
source
  • Discussion forums collected for the DARPA BOLT and DEFT programs
  • Transcripts and English translations of Mandarin Chinese broadcast news programming from China Central TV
  • Wall Street Journal text
  • Translated Xinhua news texts
  • Newswire data from NIST OpenMT evaluations
  • Weblog data used in the DARPA GALE program
language
  • English
language.area
  • America
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
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 © 2002-2005, 2007-2008 Agence France Presse, © 2007 Al Ahram, © 2007 Al Hayat, © 2007 Al-Quds Al-Arabi, © 2007 Asharq Al-Awsat, © 2007 An Nahar, © 2007 Assabah, © 2002-2008 The Associated Press, © 2003-2004, 2007-2008 Central News Agency (Taiwan), © 1997, 2004-2007 China Central TV, © 2007 China Military Online, © 2007 Chinanews.com, © 1987-1989 Dow Jones & Company, Inc., © 2007 Guangming Daily, © 1995, 2003, 2007-2008 Los Angeles Times-Washington Post News Service, Inc., © 2002, 2004-2005, 2007-2008 New York Times, © 1994-1998, 2001-2008 Xinhua News Agency, © 2003, 2005, 2006, 2007, 2009, 2011, 2013, 2014, 2017 Trustees of the University of Pennsylvania