Name
Abstract | ||
|---|---|---|
Document retrieval in languages with a rich and complex morphology 驴 particularly in terms of derivation and (single-word) composition 驴 suffers from serious performance degradation with the stemming-only query-term-to-text-word matching paradigm. We propose an alternative approach in which morphologically complex word forms are segmented into relevant subwords (such as stems, prefixes, suffixes), and subwords constitute the basic unit for indexing and retrieval. We evaluate our approach on a large biomedical document collection. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/HICSS.2003.1174249 | HICSS |
Keywords | Field | DocType |
complex word form,subword-based text retrieval,large biomedical document collection,complex morphology,serious performance degradation,basic unit,alternative approach,document retrieval,stemming-only query-term-to-text-word,relevant subwords,information retrieval,text analysis,indexing | Information retrieval,Computer science,Document clustering,Prefix,Artificial intelligence,Relevance (information retrieval),Natural language processing,Document retrieval,Vector space model,Concept search,Word processing,Visual Word | Conference |
ISBN | Citations | PageRank |
0-7695-1874-5 | 2 | 0.46 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Udo Hahn | 1 | 32 | 4.80 |
| Martin Honeck | 2 | 21 | 2.62 |
| Stefan Schulz | 3 | 29 | 5.15 |