Abstract
Given the diversity of lexical-semantic resources, particularly dictionaries, integrating such resources by aligning various types of information is an important task, both in e-lexicography and natural language processing. The current study aims at analyzing the automatic alignment of word senses of the same lemmas across two comprehensive monolingual Danish dictionaries, the historic Ordbog over det Danske Sprogand the modern Den Danske Ordbog. We report our efforts in creating a gold-standard dataset and show that semantic similarity measures can be efficiently used to create statistical models to automatically align senses across dictionaries.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Congress of the European Association for Lexicography - EURALEX XIX |
| DOIs | |
| Publication status | Published - 1 Nov 2020 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Ahmadi, Sina; Nimb, Sanni; McCrae, John P.; Sørensen, Nicolai H.
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