A Symbolic and Surgical Acquisition of Terms through Variation
| dc.creator | Jacquemin, Christian | |
| dc.date | 1995-05-04 | |
| dc.date | 1995-05-04 | |
| dc.date.accessioned | 2026-07-07T08:58:41Z | |
| dc.date.available | 2026-07-07T08:58:41Z | |
| dc.description | Terminological acquisition is an important issue in learning for NLP due to the constant terminological renewal through technological changes. Terms play a key role in several NLP-activities such as machine translation, automatic indexing or text understanding. In opposition to classical once-and-for-all approaches, we propose an incremental process for terminological enrichment which operates on existing reference lists and large corpora. Candidate terms are acquired by extracting variants of reference terms through {\em FASTR}, a unification-based partial parser. As acquisition is performed within specific morpho-syntactic contexts (coordinations, insertions or permutations of compounds), rich conceptual links are learned together with candidate terms. A clustering of terms related through coordination yields classes of conceptually close terms while graphs resulting from insertions denote generic/specific relations. A graceful degradation of the volume of acquisition on partial initial lists confirms the robustness of the method to incomplete data. | |
| dc.description | 8 pages compressed uuencoded latex, uses aaai.sty, 1 figure .eps To appear in Proceedings Workshop "New Approaches to Learning for NLP" at IJCAI'95 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9505012 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9505012 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/147422 | |
| dc.subject | Computation and Language | |
| dc.title | A Symbolic and Surgical Acquisition of Terms through Variation | |
| dc.type | text |