Papers by Avinash Swaminathan
A Preliminary Exploration of GANs for Keyphrase Generation (2020.emnlp-main)
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| Challenge: | Existing studies on extractive keyphrases have shown promising results, but the results suggest that there is room for improvement. |
| Approach: | They propose a new keyphrase generation approach using Generative Adversarial Networks (GANs) their model produces a sequence of keyphrases and a discriminator distinguishes between human-curated and machine-generated keyphrase. |
| Outcome: | The proposed model outperforms the state-of-the-art generative models on benchmark datasets and is comparable to the best performing extractive models. |
Two-Step Classification using Recasted Data for Low Resource Settings (2020.aacl-main)
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Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent
| Challenge: | Existing studies on NLP models focus on high resource languages like English, but there are only two datasets for Hindi. |
| Approach: | They propose a novel two-step classification method which uses textual-entailment predictions for classification task. |
| Outcome: | The proposed method improves classification performance by using a joint-objective for classification and textual entailment. |