Papers by Sourabh Kumar Bhattacharjee
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation (2021.findings-acl)
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| Challenge: | linguistics and morphology of resource-short code-mixed texts remain a key challenge in text processing. |
| Approach: | They propose a hierarchical transformer-based framework that captures the semantic relationship among words and hierarchically learns sentencelevel semantics using a fused attention mechanism. |
| Outcome: | The proposed framework improves on one European and five Indic languages on four NLP tasks on eleven datasets. |
Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling (2021.findings-emnlp)
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| Challenge: | Noisy texts are common in user-generated texts that appear abundant in social media platforms like SMS, online chat, email, blogs, wikis etc. |
| Approach: | They propose a sequence-to-sequence architecture that uses a gating mechanism to detect types of corrections required from English texts. |
| Outcome: | The proposed architecture performs better than non-gated models on machine translation and Summarization tasks. |