2003 InformationExtraction

• (Grishman, 2003) ⇒ Ralph Grishman. (2003). “Information Extraction.” In: (Mitkov, 2003).

Subject Headings: Information Extraction Task, Named Entity Recognition Task, Event Extraction Task.

Quotes

30.1 Name Identification and Classification

30.1.1 Building a name tagger

• In conventional treatments of language structure, little attention is paid to proper names, addresses, quantity phrases, etc. Presentations of language analysis typically begin by looking words up in a dictionary and identifying them as noun, verbs, adjectives, etc. In fact, however, most tests include lots of names, and if a system cannot identify these as linguistic units (and, for most tasks, identify their type), it will be hard pressed to produce a linguistic analysis of the text.

30.2 Event Extraction

• We now consider a more complex task: extracting all the instances of a particular type of relationship or event from text. For example, we may have a file of seminar announcements and want to build a table listing the speaker, title, date, time, and location of each seminar.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 InformationExtraction	Ralph Grishman			Information Extraction