On the Psychological Response to Unknown Proper Names

Tagging Unknown Proper Names Using Decision Trees

This paper describes a supervised learning method to automatically select from a set of noun phrases, embedding proper names of different semantic classes, their most distinctive features. The result of the learning process is a decision tree which classifies an unknown proper name on the basis of its context of occurrence. This classifier is used to estimate the probability distribution of an ...

Identifying Unknown Proper Names In Newswire Text

The identification of unknown proper names in text is a significant challenge for NLP systems operating on unrestricted text. A system which indexes documents according to name references can be useful for information retrieval or as a preprocessor for more knowledge intensive tasks such as database extraction. This paper describes a system which uses text skimming techniques for deriving prope...

Automatic Semantic Tagging of Unknown Proper Names

Implemented methods for proper names recognition rely on large gazetteers of common proper nouns and a set of heuristic rules (e.g. Mr. as an indicator of a PERSON entity type). Though the performance of current PN recognizers is very high (over 90%), it is important to note that this problem is by no means a "solved problem". Existing systems perform extremely well on newswire corpora by virtu...

On the linguistic complexity of proper names

Proper names--Zurich plethora.

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