ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

Robyn Speer, Joanna Lowry-Duda


Abstract
This paper describes Luminoso’s participation in SemEval 2017 Task 2, “Multilingual and Cross-lingual Semantic Word Similarity”, with a system based on ConceptNet. ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that relates the meanings of words and phrases. Our submission to SemEval was an update of previous work that builds high-quality, multilingual word embeddings from a combination of ConceptNet and distributional semantics. Our system took first place in both subtasks. It ranked first in 4 out of 5 of the separate languages, and also ranked first in all 10 of the cross-lingual language pairs.
Anthology ID:
S17-2008
Original:
S17-2008v1
Version 2:
S17-2008v2
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
85–89
Language:
URL:
https://aclanthology.org/S17-2008
DOI:
10.18653/v1/S17-2008
Bibkey:
Cite (ACL):
Robyn Speer and Joanna Lowry-Duda. 2017. ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 85–89, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge (Speer & Lowry-Duda, SemEval 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/S17-2008.pdf
Code
 additional community code
Data
ConceptNetOpenSubtitles