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Text chunking consists of dividing a text in syntactically correlated parts of words. For example, the sentence He reckons the current account deficit will narrow to only # 1.8 billion in September . can be divided as follows: [NP He ] [VP reckons ] [NP the current account deficit ] [VP will narrow ] [PP to ] [NP only # 1.8 billion ] [PP in ] [NP September ] . Text chunking is an intermediate step
Named entities are phrases that contain the names of persons, organizations, locations, times and quantities. Example: [ORG U.N. ] official [PER Ekeus ] heads for [LOC Baghdad ] . The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on four types of named entities: persons, locations, organizations and names of miscellaneous entities that do not
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