Papers with neural solution
Multi-label Categorization of Accounts of Sexism using a Neural Framework (D19-1)
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Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma
| Challenge: | Sexism manifests in blatant as well as subtle ways, authors say . existing work on sexism classification has limitations in terms of categories used . authors: categorization of accounts of sexist behavior can aid in countering sextism . |
| Approach: | They propose a neural solution that can combine sentence representations with distributional and linguistic word embeddings. |
| Outcome: | a new method outperforms deep learning and traditional methods by an appreciable margin . the proposed method outpersforms several deep learning as well as traditional baselines by an approval margin compared to baselines . |
JRC-Names-Retrieval: A Standardized Benchmark for Name Search (2024.lrec-main)
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| Challenge: | a lack of research on the ability to search through databases of personal and organization name is hindering this area . specialized indexing methods which understand the structure of names are essential to efficient performance. |
| Approach: | They propose a neural solution which provides a 12% performance gain over baselines . they propose specialized indexing methods which understand the structure of names . |
| Outcome: | The proposed solution shows up to 12% performance gain over baselines . the proposed solution is compared against a similar dataset from a different dataset . |