UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model

no code implementations • NAACL (BioNLP) 2021 • Duy-Cat Can, Quoc-An Nguyen, Quoc-Hung Duong, Minh-Quang Nguyen, Huy-Son Nguyen, Linh Nguyen Tran Ngoc, Quang-Thuy Ha, Mai-Vu Tran

This paper describes a system developed to summarize multiple answers challenge in the MEDIQA 2021 shared task collocated with the BioNLP 2021 Workshop.

Document Summarization Extractive Summarization +1

UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization

no code implementations • NAACL (BioNLP) 2021 • Hoang-Quynh Le, Quoc-An Nguyen, Quoc-Hung Duong, Minh-Quang Nguyen, Huy-Son Nguyen, Tam Doan Thanh, Hai-Yen Thi Vuong, Trang M. Nguyen

This paper describes a system developed to summarize multiple answers challenge in the MEDIQA 2021 shared task collocated with the BioNLP 2021 Workshop.

Abstractive Text Summarization Denoising

BRIDGE: Bundle Recommendation via Instruction-Driven Generation

no code implementations • 24 Dec 2024 • Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Nguyen Thi, Hoang-Quynh Le, Duc-Trong Le

Inspired by the distant supervision strategy and generative paradigm, we propose BRIDGE, a novel framework for bundle recommendation.

Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning

no code implementations • 13 Aug 2024 • Huy-Son Nguyen, Tuan-Nghia Bui, Long-Hai Nguyen, Hoang Manh-Hung, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le

To address this, we present BunCa, a novel bundle recommendation approach employing item-level causation-enhanced multi-view learning.

Contrastive Learning MULTI-VIEW LEARNING