Name
Abstract | ||
|---|---|---|
Document retrieval in languages with a rich and complex morphology - particularly in terms of derivation and (single-word) composition - 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, named entities, acronyms), and subwords constitute the basic unit for indexing and retrieval. We evaluate our approach on a large biomedical document collection. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.3115/1118149.1118158 | ACL Workshop on Natural Language Processing in the Biomedical Domain |
Keywords | DocType | Citations |
complex word form,large biomedical document collection,complex morphology,biomedical text retrieval,serious performance degradation,basic unit,alternative approach,document retrieval,stemming-only query-term-to-text-word,relevant subwords | Conference | 6 |
PageRank | References | Authors |
0.70 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Schulz | 1 | 6 | 1.38 |
| Martin Honeck | 2 | 21 | 2.62 |
| Udo Hahn | 3 | 32 | 4.80 |