Name
Abstract | ||
|---|---|---|
We discuss the nature and the scope of linguistic (morphological, syntactic and semantic) variation of terms and its impact on two information retrieval tasks: term acquisition and automatic indexing. A review of natural language processing techniques existing in these two areas is done, along with an in-depth presentation of FASTR, a corpus processor for the recognition, normalization, and acquisition of multi-word terms. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/978-3-540-45115-0_6 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
natural language processing | Noun phrase,Normalization (statistics),Computer science,Computational linguistics,Natural language,Artificial intelligence,Natural language processing,Automatic indexing,Syntax,Semantics | Conference |
Volume | Issue | ISSN |
2705 | 1 | 0302-9743 |
Citations | PageRank | References |
10 | 0.74 | 58 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Agata Savary | 1 | 92 | 19.55 |
| Christian Jacquemin | 2 | 249 | 36.28 |