Papers by Pooja Singh

2 papers
Semantic Parsing for Technical Support Questions (C18-1)

Copied to clipboard

Challenge: Automating technical support is a task of providing answers to complex problems . traditional approaches to this task rely on information retrieval and are keyword based .
Approach: They propose a semantic parsing approach that uses grammatical structure to extract technical questions' attributes as a baseline and a CRF-based model that can improve performance in the presence of annotated data.
Outcome: The proposed model outperforms retrieval baselines in annotated data for training.
Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus (2025.findings-emnlp)

Copied to clipboard

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.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations