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.- Anthology ID:
- L16-1415
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2607–2613
- Language:
- URL:
- https://aclanthology.org/L16-1415
- DOI:
- Cite (ACL):
- Yoshihiko Hayashi. 2016. A Framework for Cross-lingual/Node-wise Alignment of Lexical-Semantic Resources. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2607–2613, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- A Framework for Cross-lingual/Node-wise Alignment of Lexical-Semantic Resources (Hayashi, LREC 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/L16-1415.pdf