论文信息 - Extracting _Carbon Copy_ Names and Organizations from a Heterogeneous Document Collection - 字舞流文

Extracting _Carbon Copy_ Names and Organizations from a Heterogeneous Document Collection

We describe the development of a tool to identify the names of persons and their corresponding institutions as they appear in the "carbon copy" or "cc" lists of correspondence, memorandums, emails, and other types of documents.

Kazem Taghva | Russell Beckley | Jeffrey S. Coombs

[1] Sergey Brin,et al. Extracting Patterns and Relations from the World Wide Web , 1998, WebDB.

[2] T. J. Watson. Summarizing Noisy Documents Hongyan Jing Daniel Lopresti Chilin Shih IBM , 2003 .

[3] Kazem Taghva,et al. Address extraction using hidden Markov models , 2005, IS&T/SPIE Electronic Imaging.

[4] Scott Miller,et al. A Novel Use of Statistical Parsing to Extract Information from Text , 2000, ANLP.

[5] Kazem Taghva,et al. Autotag: A Tool for Creating Structured Document Collections from Printed Materials , 1998, EP.

[6] Andrew McCallum,et al. Information Extraction with HMMs and Shrinkage , 1999 .

[7] Andrew McCallum,et al. Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text , 2006, NAACL.