论文信息 - The WordSmith Indexing System

The WordSmith Indexing System

Abstract The OCLC WordSmith indexing system uses the results of research in computational linguistics to implement a series of largely statistical filters to identify descriptive vocabulary in collections of English-language text of arbitrary subjects. It is customizable but encodes relatively few assumptions about the language or subject of the input text or the theory of indexing.

C. Jean Godby | Ray R. Reighart

[1] Joe Zhou,et al. Automatic Suggestion of Significant Terms for a Predefined Topic , 1995, VLC@ACL.

[2] Kenneth Ward Church,et al. Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.

[3] C. Jean Godby,et al. The WordSmith Toolkit , 2001 .

[4] Nina Wacholder,et al. Simplex NPs Clustered by Head: A Method for Identifying Significant Topics Within a Document , 1998 .

[5] Jin Wang,et al. Building Effective Queries In Natural Language Information Retrieval , 1997, ANLP.

[6] Ray R. Reighart,et al. Using machine-readable text as a source of novel vocabulary to update the Dewy Decimal classification , 1998 .

[7] Eric Brill,et al. Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging , 1995, CL.

[8] Mats Rooth,et al. Structural Ambiguity and Lexical Relations , 1991, ACL.

[9] Hiroshi Nakagawa. Extraction of Index Words from Manuals , 1997, RIAO.

[10] Martin Dillon,et al. Fully Automatic Book Indexing , 1983, J. Documentation.