CogALex-VI Shared Task: Bidirectional Transformer based Identification of Semantic Relations
Refereed Conference Meeting Proceeding
This paper presents a bidirectional transformer based approach to recognise semantic relationships between a pair of words as proposed by CogALex VI shared task in 2020. The system presented here works through employing BERT embeddings of the words and passing the same over tuned neural network to produce a learning model for the pair of words and their relationships. Afterwards the very same model is used for the relationship between unknown words from test set. CogALex VI provided subtask 1 as the identification of relationship of three specific categories amongst English pair of words and the presented system opts to work on that. The resulted relationships of the unknown words are analysed here , which shows a balanced performance in overall characteristics with some scope of improvement as further challenges to be embarked.
Proceedings of CogALex - Cognitive Aspects of the Lexicon Workshop at COLING 202
Digital Object Identifer (DOI):
National University of Ireland, Galway (NUIG)
Open access repository: