Papers by Aishik Chakraborty

2 papers
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages (P19-1)

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Challenge: Obtaining the proper word ordering, called as the prose ordering, from a verse is often considered a task which requires linguistic expertise.
Approach: They propose a word ordering (linearisation) task that ignores the word arrangement at the verse side.
Outcome: The proposed model outperforms current models in word ordering for the translation task in Sanskrit.
Learning Lexical Subspaces in a Distributional Vector Space (2020.tacl-1)

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Challenge: Existing word embeddings that can cluster distributionally related words are weak, but they can be used to cluster words that might not be semantically similar.
Approach: They propose a framework that injects lexical-semantic relations into distributional word embeddings by defining subspaces of the distributional vector space in which a lexically related relation should hold.
Outcome: The proposed framework outperforms existing systems on relatedness and hypernymy tasks while being competitive on word similarity tasks.

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