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Abstract Meaning Representation (AMR) annotation release 1.0.
- Format:
- Datafile
- Language:
- English
- Subjects (All):
- English language--Data processing--Databases.
- English language.
- English language--Semantics.
- Computational linguistics--Databases.
- Computational linguistics.
- English language--Data processing.
- Genre:
- Databases.
- Dictionaries.
- Physical Description:
- 1 CD-ROM ; 4 3/4 in.
- 4 3/4 in.
- monochrome
- Place of Publication:
- [Philadelphia, PA] : Linguistic Data Consortium, [2014]
- System Details:
- data file
- Notes:
- Title from disc label.
- Author(s): Kevin Knight, Laura Baranescu, Claire Bonial, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Nathan Schneider.
- Data type: Text.
- Data source(s): Discussion forum, weblogs, newswire, web collection.
- Application(s): Information extraction, entity extraction, semantic role labelling, coreference resolution.
- "Abstract Meaning Representation (AMR) Annotation Release 1.0 was developed by 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 13,000 English natural language sentences from 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 online catalog.
- ISBN:
- 1585636819
- 9781585636815
- OCLC:
- 891349420
- Access Restriction:
- Restricted for use by site license.
- Online:
- LDC catalog entry
- Using LDC Data general information
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