Name
Abstract | ||
|---|---|---|
Natural language processing (NLP) applied to information retrieval (IR)and filtering problems may assign part-of-speech tags to terms and, moregenerally, modify queries and documents. Analytic models can predict theperformance of a text filtering system as it incorporates changes suggestedby NLP, allowing us to make precise statements about the average effect ofNLP operations on IR. Here we provide a model of retrieval and tagging thatallows us to both compute the performance change due... |
Year | Venue | Keywords |
|---|---|---|
1996 | Clinical Orthopaedics and Related Research | information retrieval,upper and lower bounds,natural language processing |
Field | DocType | Volume |
Syntactic parsing,Computer science,Upper and lower bounds,Text filtering,Filter (signal processing),Part of speech,Speech recognition,Natural language processing,Artificial intelligence,Text retrieval,Visual Word | Journal | cmp-lg/960 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert M. Losee | 1 | 276 | 36.01 |