منابع مشابه
Handling Conjunctions in Named Entities
Named entity recognition consists of identifying ‘mentions’ — strings in a text that correspond to named entities — and then classifying each such mention as corresponding to a specific type of named entity, with typical categories being Company, Person and Location. The full range of named entity categories to be identified is usually application dependent. Introduced for the first time as a s...
متن کاملDisambiguating Conjunctions in Named Entities
The recognition of named entities is now a welldeveloped area, with a range of symbolic and machine learning techniques that deliver high accuracy identification and categorisation of a variety of entity types. However, there are still some named entity phenomena that present problems for existing techniques; in particular, relatively little work has explored the disambiguation of conjunctions ...
متن کاملRecognizing Named Entities in Tweets
The challenges of Named Entities Recognition (NER) for tweets lie in the insufficient information in a tweet and the unavailability of training data. We propose to combine a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model under a semi-supervised learning framework to tackle these challenges. The KNN based classifier conducts pre-labeling to collect globa...
متن کاملSeparating Named Entities
In this paper, we analyze the situation of long sequences of mostly capitalized words which look like a named entity but in fact they consist of several named entities. An example of such phenomena is hokejista (hockey player) New York Rangers Jaromír Jágr. Without splitting the sequence correctly, we will wrongly assume that the whole capitalized sequence is a name of the hockey player. To fin...
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ژورنال
عنوان ژورنال: Lingvisticæ Investigationes
سال: 2007
ISSN: 0378-4169,1569-9927
DOI: 10.1075/li.30.1.05maz