Papers with natural language processing technologies

3 papers
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization (D19-1)

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Challenge: Sexual harassment is a pervasive, worldwide problem with a long history . statistics show that girls and women are put at high risk of experiencing harassment.
Approach: They manually annotated sexual harassment stories with labels in dimensions of location, time, and harassers’ characteristics and applied natural language processing techniques to extract key elements at the same time.
Outcome: The proposed algorithms will help people who have been harassed, authorities, researchers and other related parties in various ways, such as automatically filling reports, and enabling faster action to be taken.
IndoCL: Benchmarking Indonesian Language Development Assessment (2024.findings-emnlp)

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Challenge: Recent interest has surged in applying natural language processing (NLP) and machine learning (ML) to evaluate language development in both first (L1) and second (L2) language acquisition.
Approach: They propose to use an Indonesian corpus as a benchmark for LDA tasks and to use existing large-scale language models to improve performance.
Outcome: The proposed model extracts language-independent features, relieving laborious computation and reliance on specific language.
Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus (2025.findings-emnlp)

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Challenge: linguistic diversity of India poses significant machine translation challenges, authors say . underrepresented tribal languages like Bhili lack high-quality linguistic resources .
Approach: They introduce a Bhili-Hindi-English Parallel Corpus, the first and largest parallel corpus worldwide . they evaluated a wide range of proprietary and open-source MLLMs on bidirectional translation tasks .
Outcome: The proposed corpus spans critical domains such as education, administration, and news.

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