Conference paper
Sanskrit sandhi splitting using Seq2(Seq)22
Rahul Aralikatte, Neelamadhav Gantayat, et al.
EMNLP 2018
We introduce a weakly supervised approach for inferring the property of abstractness of words and expressions in the complete absence of labeled data. Exploiting only minimal linguistic clues and the contextual usage of a concept as manifested in textual data, we train sufficiently powerful classifiers, obtaining high correlation with human labels. The results imply the applicability of this approach to additional properties of concepts, additional languages, and resource-scarce scenarios.
Rahul Aralikatte, Neelamadhav Gantayat, et al.
EMNLP 2018
Gosia Lazuka, Andreea Simona Anghel, et al.
SC 2024
Ben Fei, Jinbai Liu
IEEE Transactions on Neural Networks
Robert Farrell, Rajarshi Das, et al.
AAAI-SS 2010