Abstract
Given lexical-semantic resources in different languages, it is useful to establish cross-lingual correspondences, preferably with semantic relation labels, between the concept nodes in these resources. This paper presents a framework for enabling a cross-lingual/node-wise alignment of lexical-semantic resources, where cross-lingual correspondence candidates are first discovered and ranked, and then classified by a succeeding module. Indeed, we propose that a two-tier classifier configuration is feasible for the second module: the first classifier filters out possibly irrelevant correspondence candidates and the second classifier assigns a relatively fine-grained semantic relation label to each of the surviving candidates. The results of Japanese-to-English alignment experiments using EDR Electronic Dictionary and Princeton WordNet are described to exemplify the validity of the proposal.
Original language | English |
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Title of host publication | Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 |
Publisher | European Language Resources Association (ELRA) |
Pages | 2607-2613 |
Number of pages | 7 |
ISBN (Electronic) | 9782951740891 |
Publication status | Published - 2016 Jan 1 |
Event | 10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia Duration: 2016 May 23 → 2016 May 28 |
Other
Other | 10th International Conference on Language Resources and Evaluation, LREC 2016 |
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Country | Slovenia |
City | Portoroz |
Period | 16/5/23 → 16/5/28 |
Keywords
- Cross-lingual alignment
- Lexical-semantic resource
- Relation classification
ASJC Scopus subject areas
- Linguistics and Language
- Library and Information Sciences
- Language and Linguistics
- Education