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» A framework for named entity recognition in the open domain
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COLING
2002
13 years 8 months ago
Named Entity Recognition: A Maximum Entropy Approach Using Global Information
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document...
Hai Leong Chieu, Hwee Tou Ng
COLING
2002
13 years 8 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
JCIT
2010
149views more  JCIT 2010»
13 years 3 months ago
People Summarization by Combining Named Entity Recognition and Relation Extraction
The two most important tasks in entity information summarization from the Web are named entity recognition and relation extraction. Little work has been done toward an integrated ...
Xiaojiang Liu, Nenghai Yu
CIKM
2005
Springer
14 years 2 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
CICLING
2007
Springer
14 years 2 months ago
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
Abstract. The task of Named Entity Recognition (NER) allows to identify proper names as well as temporal and numeric expressions, in an open-domain text. NER systems proved to be v...
Yassine Benajiba, Paolo Rosso, José-Miguel ...