Papers with neural solution

2 papers
Multi-label Categorization of Accounts of Sexism using a Neural Framework (D19-1)

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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 .

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