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cs.CL2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
Binny Mathew, Sandipan Sikdar, Florian Lemmerich +1
We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic differentials are a psychometric con…
cs.CL2018
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences
Binny Mathew, Suman Kalyan Maity, Pratip Sarkar +2
Word senses are not static and may have temporal, spatial or corpus-specific scopes. Identifying such scopes might benefit the existing WSD systems largely. In this paper, while st…