MUC-7 Information Extraction Task Definition. Chinchor, N. Scenario, 1998.
MUC-7 Information Extraction Task Definition [link]Website  abstract   bibtex   
INTRODUCTION: Brief Definition of Information Extraction Task Information extraction in the sense of the Message Understanding Conferences has been traditionally defined as the extraction of information from a text in the form of text strings and processed text strings which are placed into slots labeled to indicate the kind of information that can fill them. So, for example, a slot labeled NAME would contain a name string taken directly out of the text or modified in some well-defined way, such as by deleting all but the person's surname. Another example could be a slot called WEAPON which requires as a fill one of a set of designated classes of weapons based on some categorization of the weapons that has meaning in the events of import such as GUN or BOMB in a terrorist event. The input to information extraction is a set of texts, usually unclassified newswire articles, and the output is a set of filled slots. The set of filled slots may represent an entity with its attributes, a relationship between two or more entities, or an event with various entities playing roles and/or being in certain relationships. Entities with their attributes are extracted in the Template Element task; relationships between two or more entities are extracted in the Template Relation task; and events with various entities playing roles and/or being in certain relationships are extracted in the Scenario Template task.
@article{
 title = {MUC-7 Information Extraction Task Definition},
 type = {article},
 year = {1998},
 websites = {http://www-nlpir.nist.gov/related_projects/muc/proceedings/ie_task.html},
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 created = {2012-02-28T00:51:15.000Z},
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 citation_key = {Chinchor1998},
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 abstract = {INTRODUCTION: Brief Definition of Information Extraction Task Information extraction in the sense of the Message Understanding Conferences has been traditionally defined as the extraction of information from a text in the form of text strings and processed text strings which are placed into slots labeled to indicate the kind of information that can fill them. So, for example, a slot labeled NAME would contain a name string taken directly out of the text or modified in some well-defined way, such as by deleting all but the person's surname. Another example could be a slot called WEAPON which requires as a fill one of a set of designated classes of weapons based on some categorization of the weapons that has meaning in the events of import such as GUN or BOMB in a terrorist event. The input to information extraction is a set of texts, usually unclassified newswire articles, and the output is a set of filled slots. The set of filled slots may represent an entity with its attributes, a relationship between two or more entities, or an event with various entities playing roles and/or being in certain relationships. Entities with their attributes are extracted in the Template Element task; relationships between two or more entities are extracted in the Template Relation task; and events with various entities playing roles and/or being in certain relationships are extracted in the Scenario Template task.},
 bibtype = {article},
 author = {Chinchor, Nancy},
 journal = {Scenario},
 number = {July}
}
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