Petra Galuscakova — accepted AI-conference papers

2022

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization

Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscakova, Sukanta Sen, Svetlana Tchistiakova +5

COLING 2022main

Query-focused summaries of foreign-language, retrieved documents can help a user understand whether a document is actually relevant to the query term. A standard approach to this problem is to first translate the source documents and then perform extractive summarization to find relevant snippets. H…

Cited by 3 Source ↗PDF ↗Scholar ↗

2021

Cross-language Sentence Selection via Data Augmentation and Rationale Training

Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscakova, Rui Zhang, Douglas Oard +1

ACL 2021long

This paper proposes an approach to cross-language sentence selection in a low-resource setting. It uses data augmentation and negative sampling techniques on noisy parallel sentence data to directly learn a cross-lingual embedding-based query relevance model. Results show that this approach performs…

Cited by 11 Source ↗PDF ↗Scholar ↗