Active Bibliography

Named Entity Recognition without Gazetteers Using a Machine Learning Approach – Zhou - 2002
1 Improving Named Entity Recognition using Annotated Corpora – Mark Stevenson, Robert Gaizauskas - 2000
6 Definite Description Processing in Unrestricted Text – Renata Vieira - 1998
57 An Empirically-Based System for Processing Definite Descriptions – Renata Vieira, Massimo Poesio - 2000
29 An Empirically Based System for Processing Definite Descriptions – Renata Vieira, Massimo Poesio - 2000
86 A Survey of Named Entity Recognition and Classification – David Nadeau, Satoshi Sekine - 2007
7 Can we make Information Extraction more adaptive? – Yorick Wilks, Roberta Catizone - 1999
3 IR and AI: traditions of representation and anti-representation in information processing – Yorick Wilks
6 Using Gazetteers in Discriminative Information Extraction – Andrew Smith - 2006
ANew Statistical Approach to Personal Name Extraction – Zheng Chen, Liu Wenyin - 2002
Simplex Nps Clustered By Head: Method for Identifying Significant Topics within a Document – Within A Docl~ient, Nina Wacholder - 1998
Statistical Named Entity Recognizer Adaptation – John Burger And, John D. Burger, John C. Henderson, William T. Morgan - 2002
1 The Difficulties of Taxonomic Name Extraction and a Solution – Guido Sautter, Klemens Böhm - 2006
5 Leveraging context in usercentric entity detection systems – Vadim Von Brzeski, Utku Irmak, Reiner Kraft
1.2.1 Applications of Named Entity Recognition.................... 4 – Toine Bogers
5 Arabic cross-document person name normalization – Walid Magdy, Kareem Darwish, Ossama Emam, Hany Hassan - 2007
2 A golden resource for named entity recognition in Portuguese – Diana Santos, Nuno Cardoso
Method mention extraction from scientific research papers – Hospice Houngbo, Robert E. Mercer
2 Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity – Council Canada, David Nadeau, Peter D. Turney, Stan Matwin - 2006