Search Results for author: Jay Yoon Lee

Found 4 papers, 2 papers with code

StructSum: Summarization via Structured Representations

1 code implementation EACL 2021 Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov

To this end, we propose incorporating latent and explicit dependencies across sentences in the source document into end-to-end single-document summarization models.

Abstractive Text Summarization Document Summarization

Towards Semi-Supervised Learning for Deep Semantic Role Labeling

no code implementations EMNLP 2018 Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime Carbonell

The paper proposes a semi-supervised semantic role labeling method that outperforms the state-of-the-art in limited SRL training corpora.

Semantic Role Labeling

Gradient-based Inference for Networks with Output Constraints

no code implementations26 Jul 2017 Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell

Practitioners apply neural networks to increasingly complex problems in natural language processing, such as syntactic parsing and semantic role labeling that have rich output structures.

Constituency Parsing Natural Language Processing +2

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