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» Robust Disambiguation of Named Entities in Text
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BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
ANLP
2000
92views more  ANLP 2000»
13 years 9 months ago
Tagging Sentence Boundaries
In this paper we tackle sentence boundary disambiguation through a part-of-speech (POS) tagging framework. We describe necessary changes in text tokenization and the implementatio...
Andrei Mikheev
COLING
2002
13 years 7 months ago
An Agent-based Approach to Chinese Named Entity Recognition
Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of ...
Shiren Ye, Tat-Seng Chua, Jimin Liu
NAACL
2004
13 years 9 months ago
Robust Reading: Identification and Tracing of Ambiguous Names
A given entity, representing a person, a location or an organization, may be mentioned in text in multiple, ambiguous ways. Understanding natural language requires identifying whe...
Xin Li, Paul Morie, Dan Roth