Papers by Soumya Chatterjee

2 papers
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (2021.eacl-main)

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Challenge: Existing methods for hierarchical multi-label classification do not assume label hierarchy exists.
Approach: They propose to jointly learn the classifier parameters as well as the label embeddings . they propose to use hyperbolic embeddables to gain better generalisation over the labels .
Outcome: The proposed method achieves state-of-the-art generalization on benchmarks and is more accurate than existing methods.
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding (2022.acl-long)

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Challenge: Existing methods of offline alignment use only the entire target sentence.
Approach: They propose a posterior alignment technique that is truly online in its execution and superior in terms of alignment error rates compared to existing methods.
Outcome: The proposed technique is online in execution and superior in alignment error rates compared to existing methods.

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