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 |
|---|---|
| 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 |
|---|---|
| Country | Slovenia |
| City | Portoroz |
| Period | 16/5/23 → 16/5/28 |
Fingerprint
Keywords
- Cross-lingual alignment
- Lexical-semantic resource
- Relation classification
ASJC Scopus subject areas
- Linguistics and Language
- Library and Information Sciences
- Language and Linguistics
- Education
Cite this
A framework for cross-lingual/node-wise alignment of lexical-semantic resources. / Hayashi, Yoshihiko.
Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. European Language Resources Association (ELRA), 2016. p. 2607-2613.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A framework for cross-lingual/node-wise alignment of lexical-semantic resources
AU - Hayashi, Yoshihiko
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Cross-lingual alignment
KW - Lexical-semantic resource
KW - Relation classification
UR - http://www.scopus.com/inward/record.url?scp=85037118359&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85037118359&partnerID=8YFLogxK
M3 - Conference contribution
SP - 2607
EP - 2613
BT - Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
PB - European Language Resources Association (ELRA)
ER -