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EACL
2006
ACL Anthology
14 years 11 months ago
Using Encyclopedic Knowledge for Named entity Disambiguation
We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure...
Razvan C. Bunescu, Marius Pasca
ANLP
2000
139views more  ANLP 2000»
14 years 11 months ago
A Hybrid Approach for Named Entity and Sub-Type Tagging
This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Eac...
Rohini K. Srihari
ICPR
2010
IEEE
15 years 27 days ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
SIGIR
2005
ACM
15 years 3 months ago
Using term informativeness for named entity detection
Informal communication (e-mail, bulletin boards) poses a difficult learning environment because traditional grammatical and lexical information are noisy. Other information is nec...
Jason D. M. Rennie, Tommi Jaakkola
ACL
2007
14 years 11 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu