Papers by Dimitris Pappas

2 papers
BioRead: A New Dataset for Biomedical Reading Comprehension (L18-1)

Copied to clipboard

Challenge: BioRead is a publicly available cloze-style biomedical machine reading comprehension (MRC) dataset with 16.4 million passage-question instances.
Approach: They propose to build a cloze-style biomedical machine reading comprehension (MRC) dataset with 16.4 million passage-question instances.
Outcome: The proposed method outperforms baselines on bioReadLite and bioASQ, and is currently the best on BioReadLite.
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections (2021.acl-long)

Copied to clipboard

Challenge: Question answering systems typically use pipelines that retrieve documents at finer text granularities.
Approach: They propose an architecture for document and snippet ranking that leverages intuition . they modified a natural questions dataset to test their model .
Outcome: The proposed model outperforms pipelines in document retrieval on biomedical data . the proposed model is competitive with the existing model, despite fewer parameters .

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