We are very excited to join forces with MLCommons and OctoML.ai! Contact Grigori Fursin for more details!

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling

lib:f107f4fc8bb487a9 (v1.0.0)

Authors: Koki Washio,Satoshi Sekine,Tsuneaki Kato
Where published: IJCNLP 2019 11
Document:  PDF  DOI 
Abstract URL: https://www.aclweb.org/anthology/D19-1357/


Definition modeling includes acquiring word embeddings from dictionary definitions and generating definitions of words. While the meanings of defining words are important in dictionary definitions, it is crucial to capture the lexical semantic relations between defined words and defining words. However, thus far, the utilization of such relations has not been explored for definition modeling. In this paper, we propose definition modeling methods that use lexical semantic relations. To utilize implicit semantic relations in definitions, we use unsupervisedly obtained pattern-based word-pair embeddings that represent semantic relations of word pairs. Experimental results indicate that our methods improve the performance in learning embeddings from definitions, as well as definition generation.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!