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.
|2003 InformationExtraction||Ralph Grishman||Information Extraction||2003|